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    CARBON-AWARE INTELLIGENT POWER MANAGER FOR CLUSTER NODES
    1.
    发明申请
    CARBON-AWARE INTELLIGENT POWER MANAGER FOR CLUSTER NODES 有权

    公开(公告)号：US20250085769A1

    公开(公告)日：2025-03-13

    申请号：US18759485

    申请日：2024-06-28

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Ganesh Byagoti Matad Sunkada ,  Thayumanavan Sridhar ,  Raj Yavatkar

    IPC: G06F1/3287

    Abstract: Example power management devices and techniques are described. An example computing device include one or more memories and one or more processors. The one or more processors are configured to determine, based on executing of at least one machine learning model, a measure of node criticality for a node of a cluster. The one or more processors are configured to determine, based on the measure of node criticality, a power savings measure of one or more power savings measures to be applied to the node. The one or more processors are configured to apply the power savings measure to the node.

    SELF LEARNING FIREWALL POLICY ENFORCER
    2.
    发明公开
    SELF LEARNING FIREWALL POLICY ENFORCER 审中-公开

    公开(公告)号：US20240179158A1

    公开(公告)日：2024-05-30

    申请号：US18472092

    申请日：2023-09-21

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Rahul Gupta ,  Ganesh Byagoti Matad Sunkada ,  Tarun Banka ,  Thayumanavan Sridhar ,  Raj Yavatkar

    IPC: H04L9/40 ,  G06N5/022 ,  G06N20/20

    CPC classification number: H04L63/1416 ,  G06N5/022 ,  G06N20/20

    Abstract: An example network system includes processing circuitry and one or more memories coupled to the processing circuitry. The one or more memories are configured to store instructions which, when executed by the processing circuitry, cause the network system to obtain first traffic session metrics data and execute a machine learning model to determine a traffic prediction based on the first traffic session metrics data. The instructions cause the network system to obtain second traffic session metrics data and determine an anomaly in traffic based on a comparison of the traffic prediction and the second traffic session metrics data. The instructions cause the network system to, based on the determination of the anomaly, generate an indication of the anomaly.

    SELF-LEARNING GREEN NETWORKS
    4.
    发明公开
    SELF-LEARNING GREEN NETWORKS 审中-公开

    公开(公告)号：US20230385697A1

    公开(公告)日：2023-11-30

    申请号：US18305181

    申请日：2023-04-21

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Thayumanavan Sridhar ,  Raj Yavatkar

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: Techniques are described for determining the energy usage of a data center and invoking one or more actions to improve the energy usage of the data center. For example, a computing system may obtain energy usage data of a data center. The computing system may also determine, based on a comparison of the energy usage data of the data center to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the data center that specifies a value that indicates whether the data center is energy efficient. The computing system may further invoke, based on the green quotient of the data center that specifies a value that indicates the data center is not energy efficient, an action to improve energy usage of the data center.

    Dynamic service rebalancing in network interface cards having processing units
    6.
    发明授权
    Dynamic service rebalancing in network interface cards having processing units 有权

    公开(公告)号：US12289240B2

    公开(公告)日：2025-04-29

    申请号：US18316668

    申请日：2023-05-12

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Ganesh Byagoti Matad Sunkada ,  Thayumanavan Sridhar ,  Raj Yavatkar

    IPC: H04L47/2408 ,  H04L45/12 ,  H04L47/125 ,  H04L49/00

    Abstract: An edge services controller may use a service scheduling algorithm to deploy services on Network Interface Cards (NICs) of a NIC fabric while incrementally scheduling services. The edge services controller may assign services to specific nodes depending on their available resources on these nodes. Available resources may include CPU compute, DPU compute, node bandwidth, etc. The edge services controller may also consider the distance between the services that communicate with each other (i.e., hop count between nodes if two communicating services are placed on separate nodes) and the weight of communication between the services. Two services that communicate heavily with each other may consume more bandwidth, and putting them further apart is more detrimental than keeping them closer to each other, i.e., reducing the hop count between each other depending on the bandwidth consumption due to their inter-service communications.

    CARBON-AWARE PREDICTIVE WORKLOAD SCHEDULING AND SCALING
    7.
    发明申请
    CARBON-AWARE PREDICTIVE WORKLOAD SCHEDULING AND SCALING 有权

    公开(公告)号：US20250086010A1

    公开(公告)日：2025-03-13

    申请号：US18759468

    申请日：2024-06-28

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Ganesh Byagoti Matad Sunkada ,  Thayumanavan Sridhar ,  Raj Yavatkar

    IPC: G06F9/48

    Abstract: Example techniques and devices are described for scheduling workloads. An example computing device is configured to predict an occurrence of a scale event for a first service. The computing device is configured to determine, based on the predicted occurrence of the scale event for the first service, a predicted level of greenness for the first service, the predicted level of greenness being based on a current level of greenness for the first service and a predicted scale up factor. The computing device is configured to determine whether the predicted level of greenness for the first service satisfies a first threshold. The computing device is configured to perform, based on whether the predicted level of greenness for the first service satisfies the first threshold, a first action on a first workload of the first service.

    Self-Correcting Service Level Agreement Enforcer
    9.
    发明公开
    Self-Correcting Service Level Agreement Enforcer 审中-公开

    公开(公告)号：US20240179076A1

    公开(公告)日：2024-05-30

    申请号：US18472111

    申请日：2023-09-21

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Rahul Gupta ,  Ganesh Byagoti Matad Sunkada ,  Tarun Banka ,  Thayumanavan Sridhar ,  Raj Yavatkar

    IPC: H04L41/5009 ,  H04L43/0811 ,  H04L43/0888

    CPC classification number: H04L41/5009 ,  H04L43/0811 ,  H04L43/0888

    Abstract: Example systems, methods, and storage media are described. An example network system includes processing circuitry and one or more memories coupled to the processing circuitry. The one or more memories are configured to store instructions which, when executed by the processing circuitry, cause the network system to obtain telemetry data. The instructions cause the network system to determine, based on the telemetry data, that an application running on server processing circuitry does not meet at least one service level agreement (SLA) requirement, the server processing circuitry not including processing circuitry resident on a network interface card (NIC). The instructions cause the network system to, based on the application not meeting the at least one SLA requirement, determine to offload at least one component of the application from the server processing circuitry to the processing circuitry resident on the NIC.

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