FAILURE REDUCTION SYSTEM FOR COMMUNICATION NETWORK

    公开(公告)号:US20220060391A1

    公开(公告)日:2022-02-24

    申请号:US17517601

    申请日:2021-11-02

    Abstract: In one embodiment, a method comprises determining whether an automation recommendation for a network is to be forwarded to a management system of the network, wherein the automation recommendation specifies an action to take with respect to a plurality of platforms of the network and is received from a recommendation system utilizing artificial intelligence to generate the automation recommendation; responsive to a determination to forward the automation recommendation, assessing an impact of the automation recommendation; and performing an action with respect to the automation recommendation based on the impact.

    PROCESSOR UNIT RESOURCE EXHAUSTION DETECTION AND REMEDIATION

    公开(公告)号:US20210182194A1

    公开(公告)日:2021-06-17

    申请号:US17185648

    申请日:2021-02-25

    Abstract: A performance monitor provides cache miss stall and memory bandwidth usage metric samples to a resource exhaustion detector. The detector can detect the presence of last-level cache and memory bandwidth exhaustion conditions based on the metric samples. If cache miss stalls and memory bandwidth usage are both trending up, the detector reports a memory bandwidth exhaustion condition to a resource controller. If cache miss stalls are trending up and memory bandwidth usage is trending down, the detector reports a last-level cache exhaustion condition to the resource controller. The resource controller can allocate additional last-level cache or memory bandwidth to the processor unit to remediate the resource exhaustion condition. If bandwidth-related metric samples indicate that a processor unit may be overloaded due to receiving high bandwidth traffic, the resource controller can take a traffic rebalancing remedial action.

    DYNAMIC HARDWARE PROFILE MODIFICATION
    3.
    发明公开

    公开(公告)号:US20230325246A1

    公开(公告)日:2023-10-12

    申请号:US18326773

    申请日:2023-05-31

    CPC classification number: G06F9/5033 G06F9/5044 H04L12/1432

    Abstract: A platform includes a plurality of hardware blocks to provide respective functionality for use in execution of an application. A subset of the plurality of hardware blocks are deactivated and unavailable for use in the execution of the application at the start of the execution of the application. A hardware profile modification block of the platform identifies receives telemetry data generated by a set of sensors and dynamically activates at least a particular one of the subset of hardware blocks based on the physical characteristics, where following activation of the particular hardware block, the execution of the application continues and uses the particular hardware block.

    SOFTWARE ENTITY POWER CONSUMPTION ESTIMATION AND MONITORING

    公开(公告)号:US20220011843A1

    公开(公告)日:2022-01-13

    申请号:US17482327

    申请日:2021-09-22

    Abstract: Telemetry information in the form of platform telemetry, virtualization layer telemetry, and application telemetry can be used to estimate power consumption of a software entity, such as a virtual machine, container, application, or network slice. A controller can take various actions based on software entity power consumption information. If a power limit of an integrated circuit component is exceeded, the controller can reduce the power consumption of a software entity or move the software entity to another integrated circuit component to reduce the power consumption of the integrated circuit component. The controller can determine a total software entity power consumption for software entities associated with a user entity and take actions to keep the total software entity power consumption within a power budget.

    TECHNOLOGIES FOR COMPUTER POWER MANAGEMENT

    公开(公告)号:US20250013507A1

    公开(公告)日:2025-01-09

    申请号:US18891976

    申请日:2024-09-20

    Abstract: Techniques for computer power management are disclosed. In one embodiment, a data center includes several compute nodes and a power management node. Power telemetry data is gathered at each of the compute nodes and sent to the power management node. The power management node analyzes the telemetry data, such as by applying filtering to identify certain metrics. The power management node may use rules to analyze the telemetry data and determine whether power management actions should be performed. The power management node may instruct the compute node to, e.g., change a power state of a processor or processor core. In some embodiments, cores may be managed by an orchestrator, and the orchestrator may identify cores to be placed in high-power and low-power states, as appropriate.

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