An information handling system may include at least one processor and a memory. The information handling system may be configured to receive, from a second information handling system, a physical identifier, a biological identifier, and a timestamp; determine a public key and a private key for the second information handling system based on the physical identifier, the biological identifier, and the timestamp; generate a random message; encrypt the random message with the public key for the second information handling system; transmit the encrypted random message to the second information handling system; and in response to a determination that the second information handling system has successfully decrypted the random message, authenticate the second information handling system.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
H04L 9/30 - Public key, i.e. encryption algorithm being computationally infeasible to invert and users' encryption keys not requiring secrecy
2.
METHOD AND APPARATUS FOR AN ENCLOSED IONIC THERMAL MODULE
An information handling system includes a processor, a memory device, and a PMU to provide power to the processor and memory device. The information handling system may also include an enclosed ion emitter cooling system including an ion emitter hub and an ion collector ring surrounding the ion emitter hub, the processor executing code instructions of an ion emitter control system to activate an ionic driving circuit, and an ionic driving circuit operatively coupled to the ion emitter hub and applying a first voltage to produce and repel ionized gases at the ion emitter hub and the ion collector ring and applying a second voltage to attract and deionize those ionized gases wherein movement of the ionized gases from the ion emitter hub to the ion collector ring causes an airflow within the enclosed ion emitter cooling system.
Methods, system, and non-transitory processor-readable storage medium for an Out of Memory test baseline system are provided herein. An example method includes executing a plurality of test cases on a system. A test score calculation module calculates a test case score for each of the executed test cases in a subset of the plurality of test cases. An Out of Memory (OOM) test baseline configuration system trains a machine learning system, using the subset test scores, to predict a baseline test score for an unexecuted test case. A test case score prediction module predicts the baseline test score for the unexecuted test case. A test case configuration tuning module tunes the unexecuted test case to determine a baseline configuration for the unexecuted test case, to identify OOM issues when the unexecuted test case is executed on a test system.
A storage system is configured to accept subsequent versions of write data on a given track to multiple respective slots of shared global memory. A track index table presents metadata at the track level, and can hold up to N slots of data. All slots of shared global memory holding data owed to the source volume and to snapshots of the source volume are bound to the track in the track index table. Each time a write occurs on a track, the track index table is used to determine when a write pending slot for the track is owed to a snapshot copy of the storage volume. When a write pending slot contains data that is owed to a snapshot copy of the source volume, a new slot is allocated to the write IO and bound to the track in the track index table.
In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: attain, via a network, a subscription with an intermediary of another datacenter; provide, via the network, a request for a software product to the other datacenter; open a network communication connection with the intermediary; receive a message associated with the software product from the intermediary; close the network communication connection; receive an image associated with the software product from the other datacenter; instantiate the image as an instantiated image; determine if a first repository of the first datacenter stores a package associated with the software product; if so, retrieve the package from the first repository; if not, receive the package from a second repository of the other datacenter via the network; and install, by the instantiated image, the software product from the package on a target information handling system.
A system can receive a first ownership voucher for a device that identifies a first entity as being the owner. The system can receive a second ownership voucher indicative of the first entity changing the owner to a second entity. The system can determine that the first entity is the owner based on the first ownership voucher. The system can update the owner to be the second entity via storing the second ownership voucher. The system can, based on receiving second user input associated with the second entity, verify the second entity as the owner using the second ownership voucher. The system can, based on verifying the second entity as the owner, store an identifier of a device onboarding service used to perform the verifying. The system can direct the device to access the device onboarding service to provision the device using the identifier of the device onboarding service.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
7.
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING DATA COLLECTION
Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for scheduling data collection. The method includes acquiring a plurality of running parameters of a storage system. The method further includes determining a plurality of grade ranges of each of the plurality of running parameters, the grade ranges indicating degrees of impact on scheduling for data collection. The method further includes determining a plurality of relevancies of the plurality of running parameters for the plurality of grade ranges. The method further includes determining scheduling for the data collection based on the plurality of relevancies. The method can dynamically determine when to perform data collection, thus avoiding data loss.
A system can access an application programming interface of a device to set an owner authorization cryptographic key on the device. The system can receive, at a device discovery service, a first request from the device for an identifier of the device onboarding service, wherein the first request comprises an indication of possessing the owner authorization cryptographic key. The system can, in response to validating the indication of the owner authorization cryptographic key, send, by the device discovery service, the identifier of the device onboarding service to the device. The system can, in response to receiving, at the device onboarding service, a second request from the device that is based on the identifier of the device onboarding service and demonstrates possession of the owner authorization cryptographic key, provision the device by the device onboarding service. The system can, permit, via the firewall, the device to access a device management service.
A first request is issued to a copy service of a virtual machine (VM) to indicate that an application running in the VM is to be backed up. The request triggers a first time window within which the application is frozen and a second time window, inside the first time window, within which a file system of the VM is frozen. A second request is issued to a snapshot data mover for a snapshot of the application. Prior to expiration of the second time window and without having received an indication that snapshot generation was successful, the copy service is notified that generation of the snapshot has been successful. A call, responsive to the notification, is received from the copy service indicating that a cleanup operation on the snapshot can proceed. Returning the call from the copy service is delayed thereby providing additional time for generating the snapshot.
A method in an illustrative embodiment of the present disclosure includes determining, utilizing a first diagnosis model deployed in a storage system, whether a cause of a fault belongs to environmental factors. The method further includes determining, responsive to determining that the cause of the fault belongs to the environmental factors, whether the fault can be solved locally in the storage system. The method further includes sending, responsive to determining that the fault cannot be solved locally in the storage system, the fault to a second diagnosis model, wherein the first diagnosis model is obtained by distilling the second diagnosis model. According to the method for fault diagnosis of the present disclosure, particular faults can be diagnosed and solved locally in a storage system, so that the workload of a customer support team of the storage system in a cloud can be reduced.
Redistributing disks based on disk wear patterns is disclosed. The wear patterns of disk drives in a storage system are learned or determined. When a restore operation is performed, the volumes to disk drive mappings are changed to balance the overall wear pattern of the storage system. This insures that, after the restore operation, disks that had comparatively lower wear levels are used more heavily while disks that had comparatively higher wear levels are used less heavily.
Methods, apparatus, and processor-readable storage media for automatically generating task-based and limited-privilege user security credentials are provided herein. An example computer-implemented method includes processing a request for user security credentials against one or more predetermined security parameters associated with at least one network; generating, based on the processing of the request, at least one set of user security credentials comprising one or more combinations of multiple randomly selected characters; configuring one or more attributes associated with the at least one set of user security credentials in connection with the at least one network, wherein the one or more attributes comprise at least one of one or more task-related attributes and one or more privilege-related attributes; and performing one or more automated actions based on the one or more configured attributes and/or implementation of the at least one set of user security credentials by one or more users.
Two main methods exist today to enforce access control in a network fabric: soft zoning and hard zoning. However, each of these approaches has some significant drawbacks. Accordingly, presented herein are new and improved systems and methods to perform access control enforcement, which is stronger than soft zoning, and does not need to interact with the fabric switches, as required by hard zoning. In one or more embodiments, an authentication verification entity (AVE) is provided with access control or authorization information. In one or more embodiments, the AVE uses this information to cause an authentication verification failure for connections between hosts and subsystems that are not allowed according to configurations (e.g., zoning configurations) of the fabric.
Technology described herein relates to dynamic adjustment of power capping for one or more servers of a subset of servers. A method can comprise generating, by a system operatively coupled to a processor, for a first server subset of a server system, weighted average values comprising a first weighted average value of current workload priority at the first server subset, a second weighted average value of current performance efficiency of the first server subset, and a third weighted average value of predicted future power usage for the first server subset, ranking, by the system, the first server subset as compared to a second server subset of the server system that does not overlap servers with the first server subset, wherein the ranking is based on at least one of the weighted average values, and applying, by the system, a power cap to the first server subset based on the ranking.
A command is received by a data protection agent to conduct an application-consistent backup of an application. The agent and application are installed as guests in a virtual machine (VM) provided by a hypervisor of a host. The VM is connected to a virtual machine guest network. The hypervisor is connected to an infrastructure network, separate from the virtual machine guest network. A socket communication channel is established between the agent and a snapshot data mover running on the host and outside the VM. A request for a snapshot is issued over the socket communication channel to the snapshot data mover. The snapshot request is passed to a virtual machine manager connected to the infrastructure network.
G06F 9/455 - Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
16.
DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION
A method of dynamically adjusting workload of a data storage system includes, while processing a first workload, calculating a saturation value of a saturation metric that scales substantially linearly with an I/O per second (IOPS) rate relative to a maximum IOPS rate of the system, determining that the saturation value is one of (1) above a high threshold and (2) below a low threshold, and performing a workload adjustment operation that establishes a second workload by (1) subtracting from the first workload based on the saturation value being above the high threshold, and (2) adding to the first workload based on the saturation value being below the low threshold, then subsequently processing the second workload.
An information handling system may include a processor, a memory device, a video display device, and a PMU. The information handling system further includes a venturi nozzle cooling system exhaust vent including a base chassis including a top cover to form a first portion upper part of a venturi nozzle and a bottom cover to form a second portion lower part of the venturi nozzle at an exhaust vent at a rear wall of the base chassis and an airflow producing device, operatively coupled to the PMU and processor, to pass air from within the base chassis and through the venturi nozzle at the exhaust vent formed by the c-cover and d-cover to accelerate airflow away from the video display device.
Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating a target object. The method includes upsampling a first feature of an input point cloud. The method further includes determining a reference feature of a reference point cloud having a predetermined shape. The method further includes determining a second feature based on the upsampled first feature and the reference feature. The method further includes generating a three-dimensional target object based on the second feature and the input point cloud, wherein the target object has a fitted curved surface, and the target object has a greater number of points than the input point cloud. With embodiments of the present disclosure, a point cloud of the target object can be made denser, and the number of points can be increased, thereby achieving a more accurate three-dimensional reconstruction of the target object.
Methods, apparatus, and processor-readable storage media for authenticating usage data for processing by machine learning models are provided herein. An example method includes receiving, by a machine learning application installed in a user space of an operating system of a user device, a message from a software component, wherein the software component is: configured to collect usage data associated with the user device; signed with using private key corresponding to a digital certificate by an application installed on the user device; and deployed in a kernel space of the operating system, and wherein the message comprises usage data signed using the private key; authenticating, by the machine learning application, the usage data based on a public key corresponding to the digital certificate; and processing, by the machine learning application in response to a result of the authenticating, at least a portion of the authenticated usage data.
An information handling system camera has an extruded aluminum housing that holds an inner frame supporting an image sensor assembled without the use of screws so that the camera readily disassembles to recycle or repair. A planar spring lock holds the camera assembly with flanges that fit into slots of the camera housing to engage the inner frame. The flanges release when a press of the planar spring lock into a recess of the housing biases the flange lip away from a catch of the inner frame.
An information handling system provides improved repair, reuse and recycling by assembly components into an aluminum extruded main housing having front and rear openings to accept a tray in the housing interior supporting a keyboard and touchpad exposed at an upper side and a supporting motherboard and thermal module on a bottom side. An aluminum extruded lid housing rotationally couples to the main housing with a three element magnetic device that inserts through the tray to hold the tray in position. The major components of the information handling system assemble without screws or adhesive to aid efficient repair, reuse and recycling of the information handling system and components.
An information handling system keyboard couples a key subassembly having keys disposed over a key detection sensor within an extruded aluminum housing having front and rear openings. The key subassembly couples over a tray that inserts in the housing rear opening to couple a rear cover at the rear opening. A front cover couples in the front opening to engage the tray so that the keyboard components couple together without any screws or adhesive.
G06F 1/16 - Constructional details or arrangements
H01H 13/702 - Switches having rectilinearly-movable operating part or parts adapted for pushing or pulling in one direction only, e.g. push-button switch having a plurality of operating members associated with different sets of contacts, e.g. keyboard with contacts carried by or formed from layers in a multilayer structure, e.g. membrane switches
An apparatus comprises a processing device configured to analyze software code of a software product to identify application programming interfaces (APIs) of software libraries used in the software code of the software product, and to determine whether any of the identified APIs used in the software code of the software product correspond to any APIs of the software libraries having reported vulnerabilities. The processing device is also configured, responsive to determining that at least one of the identified APIs used in the software code of the software product correspond to at least one of the APIs having reported vulnerabilities, to identify impacted software classes of the software product. The processing device is further configured to automate upgrade of the software libraries used in the software code of the software product based on the identified impacted software classes.
G06F 21/55 - Detecting local intrusion or implementing counter-measures
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
24.
CAMERA SENSOR AND LENS HOUSING STRUCTURE FOR ENHANCED MANUFACTURE ASSEMBLY AND REPAIR
An information handling system cylindrical housing has a front portion rotationally coupled to a rear portion with hooks that engage catches so that power and communication interfaces between the front and rear portion align. An image sensor couples in an image sensor frame in the front portion and a communication board couples in a communication board frame in the rear portion. The front and rear portions detach to ease repair with a replacement image sensor or communication board. A contactless connector disposed in the housing communicates visual image information from the image sensor to the communication board.
An information handling system display has a frame with magnets to couple a display panel in place by the magnets interacting with ferromagnetic material at the rear side of the display panel. Contactless connectors coupled to a scalar board in the frame and to the rear side of the display communicate visual information from the scalar board to the display panel for presentation as visual images. The display panel assembles to the frame by magnetic attraction to have the contactless connectors and power interfaces aligned. Repair of the display panel is performed by separating the display panel from the frame magnetic attraction and coupling a replacement display panel in the place of a defective display panel.
G06F 1/16 - Constructional details or arrangements
26.
SYSTEM AND METHOD FOR INTELLIGENTLY RECOVERING A CLIENT INFORMATION HANDLING SYSTEM FROM AN UNSUSTAINABLE STATE IN GREENHOUSE GAS EMISSIONS OVER A DEVICE LIFE CYCLE
A carbon dioxide (CO2) emissions state remediation system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client device during routine monitoring intervals, including a CO2 emissions value exceeding a non-eco-friendly state transition threshold value for the client device and indication of a failed hardware component, the hardware processor to predict, via a neural network modeling a relationship between changes in CO2 emissions values and changes in operational telemetry measurements, that replacement of the failed hardware component with a new replacement component having a known power efficiency value will cause a future determined CO2 emissions value for the client device to fall below the non-eco-friendly state transition threshold value, and the network interface device to transmit a replacement instruction for display to a user of the client device to install the new replacement component.
An information handling system and/or peripheral device includes a printed circuit board having at least one prepreg substrate coupled to at least one bio-based substrate to support operation of electronic components, such as mouse position sensor and scroll wheel rotation sensor. At end of life, the bio-based substrate is removed from the prepreg substrate, such as by melting of the biobased material, so that the prepreg substrate can be reused. In one embodiment, the prepreg substrate supports power and ground planes that bio-based substrates couple over so that the prepreg substrate can be reused along with the power and ground planes by coupling updated bio-based substrates over the reused prepreg substrate.
Systems, devices, and method for managing data processing systems are disclosed. The data processing systems may be capable of operating in various manners. To manage the data processing systems, onboarding processes may be performed to conform the operation of the data processing systems to meet the expectations of owners of the data processing systems. To facilitate onboarding, onboarding payloads may be generated in a domain in which data necessary for onboarding is available. The onboarding payloads may be transferred to data processing systems in domains in which the necessary data is not available to onboard the data processing systems.
Systems, devices, and methods for managing operation of data processing systems are disclosed. To manage operation of the data processing systems, onboarding processes may be performed to conform the operation of the data processing systems to meet the expectations of owners of the data processing systems. During onboarding, keys usable to verify subsequently issued commands may be obtained by the data processing systems. The data processing systems may perform verifications processes for issued commands that rely on a root of trust established with the keys rather than identifies of entities that may issue the commands for command verification.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
The technology described herein is directed towards cooperative configured grant with respect to the configured grant timeslots of multiple cells, particularly for ultra-reliable low latency communications (URLLC) devices configured for packet data convergence protocol (PDCP) for duplicate packet communications. Selection of slots is delay aware with respect to PDCP communications. By selecting a first serving cell's configured grant physical resource block (PRB) time slots in a timing alignment with a second cell's configured grant PRB time slots, end-to-end PDCP delay is reduced for duplicate communications between a user equipment communicating with the first cell and the second cell for PDCP duplication. Multiple UEs can be prioritized based on their current condition data with respect to slot assignment. Also described is a controller proposing a different configuration of configured grant slots, which the controller can then use if accepted by the deciding entity.
A data protection agent is installed as a guest within a virtual machine (VM) hosted by a host and a snapshot data mover is installed external to the VM on the host. Upon receiving a command to conduct a backup, a first request is issued to a copy service of the VM indicating that an application in the VM is to be backed up. A second request for a snapshot is issued to the snapshot data mover. The snapshot data mover passes the snapshot request to a virtual machine manager. Upon the snapshot data mover receiving an identifier for the snapshot, the snapshot data mover passes the snapshot identifier to the agent thereby allowing the agent to locate the snapshot and conduct the backup.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06F 16/11 - File system administration, e.g. details of archiving or snapshots
An information handling system includes a first wireless data communication interface powered by a first power rail, a processor powered by a second power rail, and a second wireless data communication interface powered by the second power rail. When the second power rail is powered off, the first power rail is powered on. The first wireless communication interface determines that the information handling system is within a predetermined distance from a wireless dock, and in response, establishes a first wireless data communication link with the wireless dock, and provides an indication to wake the processor and the second wireless data communication interface. In response to the indication, the information handling system powers on the second power rail, wakes the processor, and establishes a second wireless data communication link between the second wireless data communication interface and the wireless dock.
One method includes receiving a request to restore data to a particular point in time, scanning a snapshot that corresponds to the point in time, based on the scanning, identifying any invalid data segments pointed to by the snapshot, for each of the invalid data segments, identifying a most recent, valid, version of that segment, and based on the request, restoring a set of valid data segments. In this method, no invalid segments are restored.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
34.
CYBER RECOVERY FORENSICS KIT - EFFICIENT EVENT SEARCHING OVER PITS
A method includes searching a group of PITs, identifying one of the PITs as having an indicator of an occurrence of an event involving data associated with the identified PIT, restoring the data, running a production system copy using the data, and while the production system copy is running, taking increasingly granular backups of the data until the event is located. The event may be a corruption of the data, or other problem.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
A data protection agent is installed within a virtual machine (VM). A request to perform a backup is received. The request includes identifications of virtual machine disks (VMDKs) associated with the virtual machine. Communications are exchanged with a disk manager of a guest operating system of the VM to generate a map that maps the VMDKs to volumes attached to the VM. Communications are exchanged with an application in the VM to be protected to identify which of the volumes contain application databases associated with the application. A copy service is instructed to prepare the application for backup. A request is issued to a snapshot data mover for a snapshot of the application. The snapshot request includes identifications of a subset of the VMDKs mapped to corresponding volumes that contain the application databases. VMDKs mapped to corresponding volumes not containing the application databases are excluded from the snapshot request.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
Opportunistically transmitting backups through a time-limited air gap. A data protection system may predict rates of changes for one or more applications. The predicted rate of change allows a size of corresponding backups to be estimated. If there is time during which an air gap is available (closed), at least of the backups is selected and opportunistically transmitted to a vault through the air gap.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
A forensic kit with a granular infected backup. A forensic engine may evaluate a production system that is infected with malware or other corruption and generate a forensic kit. The forensic kit may include copies of components of the production system that are infected or that are sufficiently related to infected components. The forensic kit may be provided to investigators.
An in-guest agent receives a command to conduct a backup of a virtual machine (VM) having a copy service. A discovery is initiated of disk types attached to the VM. Based on the discovery, at least first and second disks are identified. The first disk is identified as a virtual machine disk (VMDK) and the second disk is identified as a raw device mapping (RDM) disk. After the identification, a request is issued to the copy service to prepare the applications for a snapshot operation. A first request for a snapshot of the VMDK disk is issued over a socket communication channel. A second request for a snapshot of the RDM disk is issued over a TCP network to a controller of a storage array responsible for presenting the second disk to the VM. Responses to the first and second requests are managed to conduct the backup.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06F 9/455 - Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
39.
Using Dynamic Capabilities of Cluster Nodes to Schedule Services in a Storage Cluster
Each node of a storage cluster determines its capabilities and advertises the set of capabilities along with respective capability weights to other nodes of the storage cluster. Nodes monitor their systems for capability changes and, as capabilities of the nodes dynamically change, the dynamic changes to the node capabilities are similarly advertised. The advertised capabilities are passed to a cluster service manager which creates capabilities groups based on the advertised capabilities of the nodes. When a service is deployed to the storage cluster or moved within the cluster, the cluster service manager determines the set of required capabilities associated with the service, and uses the capabilities groups to identify nodes of the storage cluster for implementation of the service. Where more than one node has advertised the required sets of capabilities, the weights are used in an election process to determine which node should be used to implement the service.
An information handling system may include a mirrored plurality of physical storage resources configured to operate as a single virtual storage resource. The information handling system may be configured to: prior to performing a sensitive operation, cause the virtual storage resource to enter a degraded state by taking a selected physical storage resource of the plurality of physical storage resources offline; perform the sensitive operation, wherein performing the sensitive operation includes writing data to a remaining physical storage resource of the plurality of physical storage resources; and in response to a failure of the sensitive operation, cause data to be copied from the selected physical storage resource to the remaining physical storage resource.
A system for managing non-transient memory in a cloud computing environment, comprising a plurality of data processors configured to cooperatively provide a cloud computing environment, a persistent memory pool system configured to interact with each of the plurality of data processors to identify persistent non-transient data memory devices at each of the data processors and a plurality of memory pools created by the persistent memory pool system, wherein each of the plurality of memory pools has a designated function.
An information handling system includes a processor, a memory device, and a power management unit (PMU) to provide power to the processor and memory device. The information handling system may also include an ion emitter fan cooling system that includes an ion emitter fan housed within an ion emitter fan housing that includes a plurality of emitter fan blades that rotate with tips operating as ion emitters. The ion emitter fan cooling system may also include an ionic driving circuit operatively coupled to the ion emitter fan and the plurality of emitter fan blades to provide a free electron source at tips of the plurality of emitter fan blades to ionize gases as an emitter within the ion emitter fan housing and create charged ions to create an airflow out of an external opening of the ion emitter fan housing having a collector.
An information handling system coupling device inserts into an opening of first and second portions that overlap to couple the portions together, such as a main housing and hinge, a lid housing and hinge, and a tray disposed in a main housing interior. First and second magnetic elements insert into the opening with like poles aligned to repel each other and provide room to fit a third magnetic element between them having opposing poles to attract the first and second elements into an assembly. Protrusions, such as an I-shape, extend from the assembly into recesses of the opening to engage the coupling device in place within the opening.
Streaming machine telemetry (SMT) event counters are placed in critical code paths of software executing on a storage system. Each monitoring interval the values of the SMT counters are reported. When a critical error occurs on the storage system, a time series set of SMT counters from a set of previous monitoring intervals is labeled with the error type and used as a training example for a learning process. The learning process is trained to learn to learn recursions between time series sets of SMT counter values and labeled error types. Once trained, a checkpoint of the learning model is deployed as an inference model and used to predict the likely occurrence of errors before the errors occur. Predicted errors are logged into a proactive service request queue, and feedback related to the predicted errors are used as feedback to continue training the learning process.
An information handling system and/or peripheral device includes a printed circuit board having at least one prepreg substrate coupled to at least one bio-based substrate to support operation of electronic components, such as mouse position sensor and scroll wheel rotation sensor, and having a layer of graphene between the prepreg substrate and the bio-based substrate. At end of life, the bio-based substrate is removed from the prepreg substrate, such as by melting of the biobased material, so that the prepreg substrate can be reused. In one embodiment, the prepreg substrate supports power and ground planes that bio-based substrates couple over so that the prepreg substrate can be reused along with the power and ground planes by coupling updated bio-based substrates over the reused prepreg substrate.
An information handling system includes a PCB, a CPU, a power distribution hat, and a heat sink. The PCB includes a first power contact on a first surface of the PCB and a first ground contact on a second surface of the PCB. The CPU includes a substrate and is affixed and electrically coupled to the first surface of the PCB by a first surface of the substrate. A second surface of the substrate includes a second power contact and a second ground contact. The power distribution hat couples the first power contact with the second power contact. The heat sink couples the first ground contact with the second ground contact.
A storage device self-heating system includes a storage device having a processing system, a storage subsystem, and at least one heat transfer subsystem coupled between the processing system and the storage subsystem. The storage device determines that a temperature of the storage subsystem is below a temperature threshold and, in response, uses the processing system to perform a plurality of computations that are configured to generate an amount of heat that, when transferred via the heat transfer subsystem(s), raises the temperature of the storage subsystem. The heat transfer subsystem(s) transfer heat generated via the performance of the plurality of computations to the storage subsystem, and when the storage device determines that the temperature of the storage subsystem is above the temperature threshold, it performs at least one storage operation.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
48.
SPOOFING OF DEVICE IDENTIFIERS IN NON-DISRUPTIVE DATA MIGRATION
An apparatus comprises at least one processing device that includes a processor coupled to a memory. The at least one processing device is configured to implement a source multi-path device between a source access device and a source logical storage device, to implement a target multi-path device between a target access device and a target logical storage device, and to initiate a data migration process to migrate data from the source logical storage device to the target logical storage device. The at least one processing device is further configured, in conjunction with the data migration process, to copy a set of paths of the source multi-path device to the target multi-path device, and to at least temporarily provide to the source access device identifying information of the source logical storage device in place of identifying information of the source multi-path device.
An information handling system may include at least one processor and a memory. The information handling system may be configured to: receive telemetry information regarding a target workload; receive configuration data regarding a computing cluster that is to execute a simulation of the target workload; train a workload artificial intelligence (AI) model based on the telemetry information and the configuration data to create the simulation of the target workload; generate a benchmarking configuration file based on the workload AI model; and deploy the benchmarking configuration file to the computing cluster for execution.
Managing computing workloads within a computing environment including identifying computing parameters of datacenter elements of each computing cluster of a computing environment; for each computing cluster of the computing environment: determining a health of the power device of the computing cluster; for each computing node of the computing cluster: determining a processing load of the computing node; determining a computing cost associated with a geo-location of the computing node; calculating, for each computing cluster, an availability of computing resources of the computing cluster based on the computing parameters of the data center elements of the computing cluster, the health of the power device of the computing cluster, the processing load of each computing node of the computing cluster, and the computing cost of each computing node of the computing cluster; generating a ranking of each computing cluster based on the availability of the computing resources of the computing cluster.
A system can determine a first output from an explainable artificial intelligence risk model based on a first input, wherein the first input indicates a first computing configuration, and wherein the first output indicates a first predicted maintenance cost of the first computing configuration during a time period. The system can determine a second output from the explainable artificial intelligence risk model based on a second input, wherein the second input indicates a second computing configuration that differs from the first computing configuration, and wherein the second output indicates a second predicted maintenance cost of the second computing configuration during the time period. The system can, in response to determining that the second predicted maintenance cost is less than the first predicted maintenance cost, saving an indication of a difference between the second predicted maintenance cost and the first predicted maintenance cost.
Managing power consumption for computing cluster, including for each IHS of the computing cluster: executing I/O computing workloads at the IHS associated with movement of block storage data, stored at a disk array in communication with the IHS, between the disk array and the IHS; during execution of the I/O computing workloads, determining an I/O power usage of the IHS; calculating an accumulated I/O power consumption of the plurality of IHS based on a summation of the I/O power usage of each of the IHS; during movement of the block storage data, calculating a power consumption of the disk array; calculating, for each IHS, a power storage consumption of the IHS based on the I/O power usage of the IHS, the accumulated I/O power consumption, and the power consumption of the disk array; allocating additional workloads among the plurality of IHS based on the power storage consumption of each IHS.
An information handling system may include at least one processor and a memory. The information handling system may be configured to: receive a request to create a plurality of virtual computing nodes; build at least one parent virtual computing node based on an operating system image; create a plurality of clone virtual computing nodes by copying the at least one parent virtual computing node; for each of the plurality of clone virtual computing nodes, reconfigure at least one setting of the clone virtual computing node, such that none of the reconfigured clone virtual computing nodes are identical to one another; and run the plurality of reconfigured clone virtual computing nodes.
Embodiments of systems and methods to provide a firmware update to devices configured in a redundant configuration in an Information Handling System (IHS) are disclosed. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to receive a password comprising a first plurality of characters, concatenate a second plurality of characters to the hashed password to form a patched password, encrypt the patched password, and send the hashed patched password to a server IHS for authentication. The second characters are configured to continually change value over time.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
A system can fit an artificial intelligence risk model to data based on labeled training data to produce a fitted model, wherein the labeled training data comprises respective features of users and products, and corresponding labels of respective maintenance costs applicable to the products, and wherein the fitted model comprises a tree model that is configured to differentiate between groups of the data with differing maintenance cost distributions. The system can, in response to applying a first input to the fitted model, produce an output that indicates a predicted maintenance cost distribution, wherein the first input comprises a feature of a user of the users and a product of the products.
A clustered pair of storage systems configured for active-active bidirectional synchronous replication expose a stretched volume over paths to both storage systems. Writes to the stretched volume received at each system are replicated to the peer system. The cluster can use a time-to-live (TTL) mechanism by which a non-preferred system continuously requests a TTL grant from the preferred system to remain in the cluster. Algorithms that reduce or avoid data unavailability are described and can include assessing the health of the systems in the cluster. An unhealthy system can trigger a one-sided polarization algorithm to notify the peer system that it is polarization winner. An improved polarization technique using a witness to decide the polarization winner includes a system adding a time delay before contacting the witness if the system is unhealthy. A control component can detect an unhealthy system and disable the active-active bidirectional synchronous replication.
A system can train an artificial intelligence risk model to produce a trained model, wherein labeled training data for the training comprises respective features of user accounts and products, and corresponding labels of respective support costs applicable to supporting the products. The system can perform reconstructive self-supervised learning on a group of features of a user account to produce a complete group of features that are specified for the user account. The system can, in response to applying an input to the trained model, wherein the input comprises the complete group of features and a product of the products, produce an output that indicates a predicted cost that corresponds to the input.
A data protection agent is installed within a virtual machine (VM). A request to freeze an application in the VM is issued to a copy service. A request for a snapshot is issued to a snapshot data mover, external to the VM. Upon receiving an identifier for the snapshot, communications are exchanged with the copy service to thaw the application, the snapshot identifier is passed to the agent thereby allowing the agent to access the snapshot and rollover data from the snapshot to secondary storage for the backup, and notification to the copy service about a success of the backup is withheld. During the rollover, listening begins for status updates concerning a progress of the rollover. Based on the status updates, the copy service is notified that the backup failed or succeeded.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
59.
SELF-ALIGNING AND SELF-ORIENTATING SWIVEL LOCK MECHANISM FOR DESKTOP MONITORS
A monitor stand provides a self-aligning and self-orientating swivel lock mechanism for desktop monitors so the monitor stand can be easily locked at the center position to provide better user experience and easier manufacturing. A base of a monitor stand has a die cast plate and a swivel plate attached thereto to allow the monitor stand to rotate from the center position. A lock plunger of a swivel lock mechanism travels along a circular guided cam profile on the swivel plate when the swivel lock mechanism is engaged and the monitor stand is rotated. When the swivel lock mechanism rotates to the center position, a recessed portion of the circular guided cam profile receives the lock plunger of the swivel lock mechanism to thereby lock the swivel plate at the center position. The user engages/disengages the swivel lock mechanism by pushing an engagement button that extends from the base.
F16M 11/10 - Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting around a horizontal axis
H05K 5/02 - Casings, cabinets or drawers for electric apparatus - Details
60.
HOST-BASED LOCALITY DETERMINATION USING LOCALITY LOG PAGES
An apparatus includes at least one processing device configured to identify a logical storage volume stored across multiple storage nodes of a distributed storage system, to obtain from each of one or more of the storage nodes locality information for one or more different portions of the logical storage volume, the locality information for a given one of the portions indicating whether or not the given portion of the logical storage volume is local to a particular storage node, and to utilize the obtained locality information in performing path selection for one or more input-output operations targeting the logical storage volume. Obtaining from each of one or more of the storage nodes locality information for one or more different portions of the logical storage volume illustratively comprises, for a given such storage node, obtaining the locality information from one or more log pages maintained by the storage node.
An apparatus comprises a processing device configured to initiate garbage collection for data pages stored in local storage of a storage node of a storage system. The processing device is also configured to determine, for a given data page stored in the local storage of the storage node, a validity score characterizing a size of changed data in the given data page, and to compare the validity score for the given data page to at least one designated threshold. The processing device is further configured to update a given page object for the given data page in an object store of persistent storage responsive to a first comparison result, and to generate, in the object store of the persistent storage, a page delta object for the given data page responsive to a second comparison result, the page delta object comprising the changed data in the given data page.
Methods, apparatus and systems are provided for touch screen displays that utilize a polarizer and a touch sensor circuit that are manufactured on a single substrate, and in which the touch sensor circuitry may be directly printed onto a polarizer substrate to provide a combination of a polarizer and a touch sensor on the same single common substrate.
Disk drive reallocation or replacement is disclosed. When performing a data protection operation, a health score is determined for each of the disk drives associated with the data protection operation. Replacement is recommended for each of the disk drives with an unfavorable health score. The recommendation may also identify a drive class based in part on the write or wear pattern. This allows unhealthy drives to be replaced prior to performing the data protection operation.
A virtual storage appliance receives a request to increase its total storage capacity, and processes the request by performing a resize operation on all backend virtual volumes that are attached to the virtual storage appliance while efficiently considering constraints of the cloud computing platform and its own system constraints. The resize operation increases a size of each one of the backend virtual volumes, e.g., by the same amount. In response to detecting that the resize operation has been completed on all the backend virtual volumes, the virtual storage appliance indicates that a new, increased total storage capacity of the virtual storage appliance is available for use. The resize operation is performed without moving any previously stored contents of the backend virtual volumes, and without changing the total number of backend virtual volumes that are attached to the virtual storage appliance.
A protective carbon dioxide (CO2) emissions minimization system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client information handling system including a non-eco-friendly state transition threshold value, a neural network modeling a relationship between changes in CO2 emissions values and operational telemetry measurements to predict that a user-adjustable operational telemetry measurement will cause a future determined CO2 emissions value for the client information handling system exceeding the non-eco-friendly state transition threshold value, a hardware processor to identify a remediation user instruction predicted to change operation of the client information handling system, causing a change in the user-adjustable operational telemetry measurement to prevent the future determined CO2 emissions value from exceeding the non-eco-friendly state transition threshold value, and the network interface device to transmit the remediation user instruction to the client information handling system.
One example method includes receiving, at a remote site from a production site, copies of production site assets, storing, at the remote site, the copies of the production site assets, using, at the remote site, the copies of the production site assets to restore a temporary production site, running the temporary production site at the remote site, and restoring, from the remote site to the production site, the copies of the production site assets.
G06F 11/20 - Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
67.
APPROACH TO SEAMLESSLY PROVISION IOMS NPAR CONFIGURATIONS FOR ONE OR MORE ASSOCIATED SLED(S) DURING COMPONENT OR SUBSYSTEM FAILURE FOR Mx7k CHASSIS IN DATACENTER
A system for component failure management, comprising a plurality of hardware components disposed in a hardware rack and configured to process network data traffic and to generate hardware event data, an event manager coupled to the plurality of hardware components and configured to monitor the network traffic and hardware event data and to determine whether a hardware failure has occurred and a network optimization module coupled to the event manager and configured to determine whether a network partition update is required in response to the determination that a hardware failure has occurred.
H04L 41/0654 - Management of faults, events, alarms or notifications using network fault recovery
H04L 41/0631 - Management of faults, events, alarms or notifications using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
One example method includes defining experiences for a workload that are to be analyzed at a first machine-learning (ML) model. The experiences define an association between the workload and microservices having computing resources that execute the workload. A probability of using each of the microservices of the experiences to execute the workload is generated at a second ML mode. A determination is made of which of the experiences have a probability that indicates that the experience will generate a low reward when analyzed by the first ML model. The experiences that generate the low reward are removed from the experiences to be analyzed at the first ML model. The experiences that have not been removed are analyzed at the first ML model to determine which experience includes microservices that should be used to execute the workload.
A method of creating a clone, on a second data storage appliance of a federation, of a source storage object stored on a first data storage appliance of the federation, includes creating a snapshot (point-in-time copy) of the source storage object at the first appliance, and then performing a full copy of the snapshot from the first appliance to the second appliance to produce a copy snapshot on the second appliance. At the second appliance, the clone is created from the copy snapshot and incorporated into a federation-wide family association of the source storage object. Specific use cases include (1) creating a clone on a different appliance from a base volume, (2) migrating a clone to a different appliance from a base volume, (3) refreshing a clone from a base volume, and a base volume from a clone, across appliances.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
G06F 16/21 - Design, administration or maintenance of databases
70.
FIRMWARE GUARD EXTENSION WITH CONVERGED DEFENSE ENGINE
A system for data protection, comprising an address mapping state machine configured to receive address data and protection data and to generate runtime address data, a firmware extension table coupled to a plurality of adders that are configured to receive data derived from the runtime address data and to output mapped runtime address data and a plurality of external components configured to receive the mapped runtime address data and to utilize the mapped runtime address data for one or more predetermined functions.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 21/54 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by adding security routines or objects to programs
An information handling system includes a battery and a charger. The battery provides a battery voltage to a main power rail of the information handling system and is couplable to the main power rail through a switch. The charger has an output coupled to the main power rail and an input coupled to an external power adapter. The power adapter provides a selectable voltage level to the input. The information handling system selects a particular voltage level that is lower than the battery voltage and directs the switch to decouple the battery from the main power rail when the information handling system is in a soft power-off state.
Systems and methods are provided for automatically filtering privileged methods from unprivileged methods, and thus preventing privileged methods from being available to an unelevated consumer application executing on an information handling system. Filtering privileged methods from unprivileged methods may be performed, for example, by identifying any unprivileged method/s within an original implementation class of an elevated publisher software application that are eligible to be exposed to (e.g., shared with) an unelevated consumer software application via a named pipe, and implementing a corresponding dynamic publisher object on the elevated publisher software application and an intermediary dynamic consumer proxy class on the unelevated consumer software application to prevent the unelevated consumer software application from calling any other methods (e.g., privileged method/s) within the original implementation class of the elevated publisher software application that are not so identified as being eligible to be exposed to the unelevated consumer software application.
A computing cable comprising a trace having a first impedance and an attenuator that includes a fixed resistor having a second resistance, a variable resistor having a first resistance, and a conductor having a second impedance. The combination of the first resistance, the second resistance, and the second impedance is based on the first impedance, wherein the first resistance is varied dynamically at runtime based on a control input.
A method includes accessing a group that comprises a group of PITs, replaying the PITs according to respective times at which the snapshots were taken, analyzing the PITs as they are being replayed, and based on the analyzing, identifying an event that has occurred within a time frame spanned collectively by the PITs. Replaying the PITs includes presenting the PITs, in order from oldest to newest, as a continuous stream of events.
Systems, devices, and methods for managing data processing systems are disclosed. The data processing systems may be capable of operating in various manners. To manage the data processing systems, onboarding processes may be performed to conform the operation of the data processing systems to meet the expectations of owners of the data processing systems. To manage security policies of the data processing systems during onboarding, ownership vouchers may be generated to provide data necessary for onboarding that defines security policies, hardware policies, and ownership of the data processing systems. The ownership voucher may be deployed to data processing systems during onboarding to reduce the likelihood of undesired use and/or interactions with the data processing systems.
An information handling system includes a basic input/output system (BIOS), and multiple virtual machines including first and second virtual machines. The first virtual machine communicates with the BIOS and other hardware components within the information handling system. The second virtual machine is configured in a BIOS update configuration. The first virtual machine receives a hypercall from the second virtual machine. The hypercall includes a command having a command type. The first virtual machine determines whether the command type within the hypercall matches a cloud policy assigned to the second virtual machine. In response to the command type matching the cloud policy, the first virtual machine provides the command to a proper hardware component within the information handling system.
One example method includes receiving real-time operational data related to the operation of Autonomous Mobile Robots (AMRs) belonging to an AMR group. Clusters of expected behavior, for the AMRs, are accessed. The clusters were generated using historical operational data. Each cluster defines a possible behavioral scenario for each AMR and includes a cluster boundary that defines a limit of the expected behavior and a cluster centroid that defines an average of expected behavior of each AMR. Resultant vectors that extend from the cluster centroid to the most recent operational point of each AMR are generated. A predetermined phase threshold value is used to determine when two or more of the resultant vectors are close to each other. The close resultant vectors are grouped to generate Resultant of Resultant Vectors (RoRs). The RoRs are used to identify behavioral scenarios of the AMRs.
An information handling system may include at least one processor and a memory. The information handling system may be configured to: receive a request to perform a management operation on a target information handling system, wherein the request is received from a mobile device via a mobile network, and wherein the request includes data retrieved from a visual identifier associated with the target information handling system; and perform the management operation by communicating with the target information handling system via a management network other than the mobile network.
H04M 1/72403 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
G06F 3/0489 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using dedicated keyboard keys or combinations thereof
79.
Method and System to Measure and Report Scope-2 Indirect Emissions Caused by Equipment Operating in a Datacenter
Described herein are methods and a system for reading and reporting of energy consumption data of managed hardware, such as devices in a data center, and scope 2 GHG emissions attributable to the use of the devices. Emission factors are captured which are associated with energy sources that provide energy to the data center and the devices. Energy consumption of the devices are read. The consumed energy of the devices is converted to GHG emissions and reported.
If a critical event occurs during a boot process, an information handling system may analyze firmware associated with the critical event to determine whether the firmware is unified extensible firmware interface compliant. In response to determining that the firmware is not unified extensible firmware interface compliant, the system may retrieve a rule associated with the firmware, and apply one or more actions to the information handling system based on the rule.
G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
81.
DYNAMIC TUNING OF GARBAGE THRESHOLD TO REDUCE UNRECLAIMABLE GARBAGE OVERHEAD
A system can determine a first correlation between respective percentages of stored garbage and respective amounts of garbage of a block storage system based on determining the respective amounts of garbage among first blocks of the respective blocks that satisfy respective criterions of the respective percentages of stored garbage. The system can, based on the first correlation, determine a second correlation between an estimated throughput applicable to reclaiming garbage in the block storage system and the respective amounts of garbage of the block storage system. The system can, based on the first correlation and the second correlation and for a specified target reclamation throughput, determine a corresponding first percentage of stored garbage of the respective percentages of stored garbage. The system can perform copy-forward garbage collection on second blocks of the block storage system that satisfy a criterion defined with respect to the first percentage of stored garbage.
A system is provided for managing a managed infrastructure that has physical hardware components. A signalizer engine is coupled to the managed infrastructure. The signalizer engine includes a central processor and a main memory. In response to input from the managed infrastructure, the central processor and the main memory use graph coordinates to determine hop proximity of a source of an event. Clusters of events are then produced relating to one or more failures or errors in the physical elements of the managed infrastructure. Each event being is converted to words to group the events into the clusters that relate to a failure or an actionable problem in the physical hardware components to produce an output. A compare and merge engine is coupled to the signalizer engine to receive the output. In response to the output, the system executes physical corrections to the physical hardware of the managed infrastructure. One or more interactive displays is in communication with the compare and merge engine to provide a collaborative interface for allowing posts to be created.
A clock buffer device for a memory module includes a first clock input coupled to an input of a first phase-locked loop (PLL), and a second clock input coupled to an input of a second PLL. An output of the first PLL is selectably coupled to clock output buffers, and an output of the second PLL is selectably coupled to a subset of the clock output buffers. The clock buffer device receives a first indication that a first information handling system is configured to provide a first clock signal on the first clock input but to not provide a second clock signal on the second clock input, and, in response to the indication, couples the output of the first PLL to the clock output buffers and to disables the second PLL.
A system can comprise a communications antenna comprising a material that is configured to change shape in response to being stimulated with an external stimulus. The system can comprise an antenna performance detector that is configured to detect a measure of performance of the communications antenna. The system can comprise a distortion correction component that is configured to receive an indication of the measure of performance, determine an amount of distortion of the shape of the communications antenna based on the indication of the measure of performance, based on the amount of distortion, determine an amount of the external stimulus with which to stimulate the communications antenna, and selectively apply the amount of the external stimulus to the communications antenna to change the shape of the communications antenna.
H01Q 15/00 - Devices for reflection, refraction, diffraction or polarisation of waves radiated from an antenna, e.g. quasi-optical devices
H01Q 1/24 - Supports; Mounting means by structural association with other equipment or articles with receiving set
H01Q 1/42 - Housings not intimately mechanically associated with radiating elements, e.g. radome
H01Q 19/06 - Combinations of primary active antenna elements and units with secondary devices, e.g. with quasi-optical devices, for giving the antenna a desired directional characteristic using refracting or diffracting devices, e.g. lens
H01Q 21/06 - Arrays of individually energised antenna units similarly polarised and spaced apart
85.
SYSTEM AND METHOD FOR DATA DRIFT DETECTION WHILE PERFORMING ANOMALY DETECTION
Methods and systems for detecting data drift while performing anomaly detection in a distributed environment are disclosed. To perform anomaly detection, a system may include an anomaly detector and one or more data collectors. The anomaly detector may detect anomalies in data obtained from one or more of the data collectors using a continuous inference model. To detect data drifts in data from the one or more data collectors, the anomaly detector may also detect anomalies in data obtained from one or more data detectors using a quantized inference model. The output of the continuous inference model may be compared to the output of the quantized inference model to determine whether the continuous inference model has adapted to data drift over time through re-training. Following anomaly detection and/or data drift detection, the data may be discarded to remove the data from the anomaly detector.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
86.
IMPLEMENTING AN AUTOMATED DATA CENTER ROBOTIC SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Methods, apparatus, and processor-readable storage media for implementing an automated data center robotic system using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining one or more items of data, external to an automated robotic system, from a data center environment; determining one or more automated operations to be carried out by the automated robotic system within the data center environment by processing at least a portion of the one or more items of data and one or more user-provided commands using at least one artificial intelligence-based inference engine; generating one or more instructions related to carrying out the one or more automated operations within the data center environment; and performing at least a portion of the one or more automated operations within the data center environment based at least in part on the one or more instructions.
Aspects of this disclosure improve data availability by decreasing access times to obtain data from the storage device while still providing high memory density. A method may include identifying, by a controller of a non-volatile solid-state storage device, first data that matches a criteria based on access information regarding data stored in a solid state drive as targeted data; writing, by the controller of the non-volatile solid-state storage device, the targeted data from a first portion of the non-volatile solid-state storage device configured as a first type to a second portion of the non-volatile solid-state storage device configured as a second type; and tagging, by the controller of the non-volatile solid-state storage device, the data with a tag based on the access information. Other aspects are also disclosed.
An information handling system includes a basic input/output system (BIOS), multiple graphics processing units (GPUs), and an advanced graphics synchronization node (AGN). The BIOS initiates boot operations for the information handling system. During a pre-extensible firmware interface phase of the boot operations, the BIOS initializes a video memory associated with the GPUs. During the boot operations, the AGN generates a firmware override table based on data in the video memory, and a redirection override table based on the data in the video memory. During operating system runtime operations, the AGN utilizes the firmware override table to synchronize outputs from the GPUs, and utilizes the redirection override table to enable a firmware update for one of the GPUs without a reboot of the information handling system.
A clock buffer device for a memory module includes a first clock input coupled to an input of a first phase-locked loop (PLL), and a second clock input coupled to an input of a second PLL. An output of the first PLL is selectably coupled to clock output buffers, and an output of the second PLL is selectably coupled to a subset of the clock output buffers. The clock buffer device receives a first indication that a first information handling system is configured to provide a first clock signal on the first clock input but to not provide a second clock signal on the second clock input, and, in response to the indication, couples the output of the first PLL to the clock output buffers and to disables the second PLL.
Model selection is disclosed. Features used as inputs to models are scored in terms of importance and health. The importance and health scores are combined in order to generate a model score for each model. The model with a score above a threshold score is selected and deployed.
Automating Information Handling System (IHS) hardening optimization includes retrieving, from a plurality of IHS hardening configurations, an initial IHS hardening configuration and hardening an IHS based on the initial hardening configuration. An IHS hardening verification tool is then run to verify that the IHS is in compliance with a compliance checklist, if it is, end-to-end tests are run on the IHS, and upon passing the end-to-end tests the initial hardening option is determined to be the best hardening option for the IHS. However, in response to the IHS not passing the end-to-end tests, a next IHS hardening configuration is retrieved and the IHS is hardened based on the next hardening configuration. Running the hardening verification tool and end-to-end tests on the IHS and retrieving a further IHS hardening configuration and hardening the IHS based on the further hardening configuration is repeated, until the IHS passes the end-to-end tests.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
92.
EFFICIENT MANAGEMENT OF SPECIALIZED CONTROL FILES USED FOR BACKUP RESTORE
Described is a system for management of specialized files used for a backup restore. The system may allow for an automated recovery to be performed without having to manually identify critical information required to perform a restore of a particular backup within a backup chain. This information may include a control file and a parameter file. A backup agent may store such information within specialized objects that are stored as part of metadata managed by a backup agent to provide an additional layer of recover capability and efficiency. This information may then be leveraged for retrieval during a restore operation, for example, in a disaster recovery scenario.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
93.
DETERMINATION OF EVENT TYPES FROM AUTOENCODER-BASED UNSUPERVISED EVENT DETECTION
Unsupervised event detection is disclosed. Reconstruction data resulting from processing input samples with a machine learning model is clustered. By labeling one or more samples of a cluster, all of the samples in the same cluster can be labeled the same. During inference, any input sample generating a similar reconstructed sample can be given the label previously applied to the cluster.
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
An information handling system includes a display panel having an active area that generates visual images and an inactive area disposed outside the active area. The inactive area having an alignment mark that is invisible to a naked eye.
A radio access network node generates a physical random access channel configuration and transmits the configuration to a user equipment. The user equipment may use multiple and different uplink resources indicated in the configuration to transmit multiple preamble portions to the radio access network node based on signal strengths corresponding to available downlink beams. The preamble portions may be the same preamble, different preambles assigned in the configuration to a beam ranking index that are to be transmitted in different uplink resources associated with downlink beams ranked by the user equipment according to signal strength, or different parts of a long spread-preamble. The radio access network node may combine the preamble portions to obtain a single preamble or may request a strongest beam indication from the user equipment if a preamble portion was received in a signal corresponding to a less-than-strongest downlink beam available to the user equipment.
A clock buffer device for a memory module includes a first clock input coupled to an input of a first phase-locked loop (PLL), and a second clock input coupled to an input of a second PLL. An output of the first PLL is selectably coupled to clock output buffers, and an output of the second PLL is selectably coupled to a subset of the clock output buffers. The clock buffer device receives a first indication that a first information handling system is configured to provide a first clock signal on the first clock input but to not provide a second clock signal on the second clock input, and, in response to the indication, couples the output of the first PLL to the clock output buffers and to disables the second PLL.
G11C 7/22 - Read-write [R-W] timing or clocking circuits; Read-write [R-W] control signal generators or management
G11C 7/10 - Input/output [I/O] data interface arrangements, e.g. I/O data control circuits, I/O data buffers
H03K 19/173 - Logic circuits, i.e. having at least two inputs acting on one output; Inverting circuits using specified components using elementary logic circuits as components
97.
CONTROLLING MEMORY MODULE CLOCK BUFFER POWER IN A SYSTEM WITH A SINGLE MEMORY CLOCK PER MEMORY MODULE
A clock buffer device for a memory module includes a first clock input coupled to an input of a first phase-locked loop (PLL), and a second clock input coupled to an input of a second PLL. An output of the first PLL is selectably coupled to clock output buffers, and an output of the second PLL is selectably coupled to a subset of the clock output buffers. The clock buffer device receives a first indication that a first information handling system is configured to provide a first clock signal on the first clock input but to not provide a second clock signal on the second clock input, and, in response to the indication, couples the output of the first PLL to the clock output buffers and to disables the second PLL.
A clock buffer device for a memory module includes a first clock input coupled to an input of a first phase-locked loop (PLL), and a second clock input coupled to an input of a second PLL. An output of the first PLL is selectably coupled to clock output buffers, and an output of the second PLL is selectably coupled to a subset of the clock output buffers. The clock buffer device receives a first indication that a first information handling system is configured to provide a first clock signal on the first clock input but to not provide a second clock signal on the second clock input, and, in response to the indication, couples the output of the first PLL to the clock output buffers and to disables the second PLL.
Identifying malicious clients in federated learning is disclosed while enhancing privacy. The clients are clustered such that cluster updates in the federated learning are generated. When a suspect cluster is identified, clients in the suspect clusters are labeled as suspect and clients in clusters that are not suspect are labeled as fair. The clients are reclustered and the clusters and clients are relabeled without changing the labels of clients that were previously deemed fair. After one or more iterations, the malicious clients are identified, and corrective actions can be performed.
Methods and systems for anomaly detection in a distributed environment are disclosed. To manage anomaly detection, a system may include an anomaly detector and one or more data collectors. The anomaly detector may detect anomalies in data obtained from one or more of the data collectors using an inference model and an anomaly threshold. The anomaly threshold may be determined by fitting a normal distribution to output of the inference model when the inference model is exercised across an input range of the inference model. The anomaly threshold may correspond to a portion of the normal distribution. To perform anomaly detection, the inference model may require periodic re-training. Data collected from the one or more data collectors may be used to re-train the inference model as needed. Following anomaly detection and/or inference model re-training, the data may be discarded to remove the data from the anomaly detector.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
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