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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 service scheduler for smart NICs
    4.
    发明授权
    Self-learning service scheduler for smart NICs 有权

    公开(公告)号：US12289364B2

    公开(公告)日：2025-04-29

    申请号：US18640970

    申请日：2024-04-19

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Ganesh Byagoti Matad Sunkada ,  Thayumanavan Sridhar ,  Rajasree Krishnamoorthy ,  Raj Yavatkar ,  Jit Gupta ,  Krishna Kant

    IPC: H04L67/1008 ,  H04L41/16

    Abstract: An example method comprises determining, by an edge services controller, based on a respective predicted resource utilization value for each of a plurality of servers, a corresponding server weight for each of the plurality of servers; the plurality of servers comprising respective network interface cards (NICs), wherein each NIC of the plurality of NICs comprises an embedded switch and a processing unit coupled to the embedded switch; determining, by the edge services controller, based on a respective predicted resource utilization value for each of a plurality of services, a corresponding application weight for each of the plurality of services; and scheduling, by the edge services controller, based on the respective server weight for a server of the plurality of servers and the respective application weight for the service, a service of the plurality of services on the server.

    ENERGY AWARE WEIGHTED ECMP
    5.
    发明申请
    ENERGY AWARE WEIGHTED ECMP 有权

    公开(公告)号：US20250088452A1

    公开(公告)日：2025-03-13

    申请号：US18823384

    申请日：2024-09-03

    Applicant: Juniper Networks, Inc.

    Inventor： Raja Kommula ,  Vyasraj Satyanarayana ,  Ganesh Byagoti Matad Sunkada ,  Raj Yavatkar

    IPC: H04L45/12 ,  H04L43/10 ,  H04L45/50 ,  H04L47/125

    Abstract: Techniques are described for classifying packet flows to different paths of a computer network based at least in part on an energy cost of each of the different paths. In one example, a network device determines a weighted equal-cost multipath (wECMP) cost of each of different paths over which to forward packets. The different paths may include, for example, different interfaces of a network device, different links to which the network device is connected, or different links of an aggregated bundle of Ethernet links. The network device determines an energy cost of each of the paths. The network device modifies the wECMP cost of each path based at least in part on the energy cost of the path to obtain a modified wECMP cost. The network device load balances the packets over the paths in accordance with the modified wECMP cost.

    INTELLIGENT FIREWALL POLICY PROCESSOR
    6.
    发明公开
    INTELLIGENT FIREWALL POLICY PROCESSOR 审中-公开

    公开(公告)号：US20240179124A1

    公开(公告)日：2024-05-30

    申请号：US18472050

    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 ,  H04L41/16

    CPC classification number: H04L63/0245 ,  H04L41/16

    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 cause the system to obtain telemetry data, the telemetry data being associated with a plurality of applications running on a plurality of hosts. The instructions cause the system to, based on the telemetry data, determine a subset of applications of the plurality of applications that run on a first host of the plurality of hosts. The instructions cause the system to determine a subset of firewall policies of a plurality of firewall polices, each of the subset of firewall policies applying to at least one respective application of the subset of applications. The instructions cause the system to generate an indication of the subset of firewall policies and send the indication to a management plane of a distributed firewall.

    SELF-LEARNING EGRESS TRAFFIC CONTROLLER
    7.
    发明公开
    SELF-LEARNING EGRESS TRAFFIC CONTROLLER 审中-公开

    公开(公告)号：US20240179074A1

    公开(公告)日：2024-05-30

    申请号：US18472059

    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: H04L41/16 ,  H04L41/14

    CPC classification number: H04L41/16 ,  H04L41/14

    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 receive connection data related to an egress connection of an application service of an application. The instructions cause the network system to analyze the connection data to determine that the egress connection is an anomalous connection. The instructions cause the network system to generate a notification indicative of the egress connection being an anomalous connection and send the notification to a computing device.

    Dynamic service rebalancing in network interface cards having processing units
    8.
    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
    9.
    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.

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