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    REACTIVE MECHANISM FOR IN-SITU OPERATION, ADMINISTRATION, AND MAINTENANCE TRAFFIC
    21.
    发明申请
    REACTIVE MECHANISM FOR IN-SITU OPERATION, ADMINISTRATION, AND MAINTENANCE TRAFFIC 审中-公开

    公开(公告)号：US20190296988A1

    公开(公告)日：2019-09-26

    申请号：US15926264

    申请日：2018-03-20

    Applicant: Cisco Technology, Inc.

    Inventor： Shwetha Subray Bhandari ,  Nagendra Kumar Nainar ,  Carlos M. Pignataro ,  Frank Brockners ,  Reshad Rahman

    IPC: H04L12/24 ,  H04L12/26 ,  H04L12/803 ,  H04L12/707

    Abstract: A reactive mechanism for in-situ operation, administration, and maintenance (IOAM) traffic is provided. In one embodiment, a method is provided that includes assigning a plurality of discriminator identifiers associated with a plurality of discriminators. Each discriminator is mapped to a specified action. The method includes receiving a data packet that includes an IOAM header comprising telemetry data associated with the data packet and a bidirectional forwarding detection (BFD) field that includes a specified discriminator identifier. The method further includes determining whether the specified discriminator identifier matches one of the plurality of discriminator identifiers, and, upon determining that the specified discriminator identifier matches a first discriminator identifier of the plurality of discriminator identifiers, the method includes initiating a seamless bidirectional forwarding detection (S-BFD) reflector session to transmit a response packet according to a first action mapped to a first discriminator associated with the first discriminator identifier.

    NETWORK PATH PROOF OF TRANSIT USING IN-BAND METADATA
    22.
    发明申请
    NETWORK PATH PROOF OF TRANSIT USING IN-BAND METADATA 审中-公开
    使用带内元数据的网络路径证明

    公开(公告)号：US20160315850A1

    公开(公告)日：2016-10-27

    申请号：US14992109

    申请日：2016-01-11

    Applicant: Cisco Technology, Inc.

    Inventor： Venkata Krishna Sashank Dara ,  Shwetha Subray Bhandari ,  Andrew Yourtchenko ,  Eric Vyncke ,  Frank Brockners

    IPC: H04L12/721 ,  H04L29/06 ,  H04L12/24

    CPC classification number: H04L9/32 ,  H04L12/4633 ,  H04L41/0246 ,  H04L41/0853 ,  H04L41/0866 ,  H04L41/28 ,  H04L45/26 ,  H04L61/6059 ,  H04L63/06 ,  H04L63/12 ,  H04L63/1408 ,  H04L69/166 ,  H04L69/22

    Abstract: A system and methods are provided for verifying proof of transit of network traffic through a plurality of network nodes in a network. Information is obtained about a packet at a network node in a network. The information may include in-band metadata of the packet. Verification information is read from in-band metadata of the packet. Updated verification information is generated from the verification information read from the packet and based on configuration information associated with the network node. The updated verification information is written back to the in-band metadata in the packet. The packet is forwarded from the network node in the network.

    Abstract translation: 提供了一种用于验证通过网络中的多个网络节点的网络流量的过境证明的系统和方法。 获取关于网络中的网络节点上的分组的信息。 信息可以包括分组的带内元数据。 从分组的带内元数据中读取验证信息。 根据从分组读取的验证信息，并根据与网络节点相关联的配置信息生成更新的验证信息。 更新的验证信息被写回到分组中的带内元数据。 该分组从网络中的网络节点转发。

    Hidden-layer routing for disaggregated artificial neural networks
    23.
    发明授权
    Hidden-layer routing for disaggregated artificial neural networks 有权

    公开(公告)号：US12301430B2

    公开(公告)日：2025-05-13

    申请号：US18477476

    申请日：2023-09-28

    Applicant: Cisco Technology, Inc.

    Inventor： Robert Edgar Barton ,  Frank Brockners ,  Jerome Henry ,  Matthias Falkner ,  Indermeet Singh Gandhi ,  Thomas Michel-Ange Feltin

    IPC: H04L41/16 ,  H04L45/74 ,  H04L67/1008

    Abstract: Novel techniques and mechanisms enable processing of heavy deep learning workloads on standard edge network devices to optimize the overall inference throughput of the network while meeting Service Level Agreement(s) (SLAs). The techniques can include receiving a deep learning model, determining a graph structure of the deep learning model including neurons organized in layers (the layers including an input layer, a plurality of hidden layers, and an output layer), assigning to a first IP subnet, at least a part of a first hidden layer of the plurality of hidden layers, assigning to a second IP subnet, at least a part of a second hidden layer of the plurality of hidden layers, and deploying the parts of the first and second hidden layers to edge devices as containerized applications with assigned IP addresses, which may be hidden from the user and/or third party application.

    ACHIEVING MINIMUM TRUSTWORTHINESS IN DISTRIBUTED WORKLOADS
    28.
    发明公开
    ACHIEVING MINIMUM TRUSTWORTHINESS IN DISTRIBUTED WORKLOADS 审中-公开

    公开(公告)号：US20230185918A1

    公开(公告)日：2023-06-15

    申请号：US17547084

    申请日：2021-12-09

    Applicant: Cisco Technology, Inc.

    Inventor： Eric Voit ,  Einar Nilsen-Nygaard ,  Frank Brockners ,  Pradeep Kumar Kathail

    IPC: G06F21/57

    CPC classification number: G06F21/57 ,  G06F2221/033

    Abstract: This disclosure describes techniques for selectively placing and maintaining sensitive workloads in subsystems that achieve a minimum level of trustworthiness. An example method includes identifying at least one trustworthiness requirement associated with an application and transmitting, to a first subsystem, a request for at least one trustworthiness characteristic of the first subsystem and at least one second subsystem connected to the first subsystem. A response indicating the at least one trustworthiness characteristic is received from the first subsystem. The example method further includes determining that the at least one trustworthiness characteristic satisfies the at least one trustworthiness requirement; and causing the application to operate on a mesh comprising the first subsystem and the at least one second subsystem.

    PARTITIONING AND PLACEMENT OF MODELS
    29.
    发明申请
    PARTITIONING AND PLACEMENT OF MODELS 有权

    公开(公告)号：US20230053575A1

    公开(公告)日：2023-02-23

    申请号：US17578872

    申请日：2022-01-19

    Applicant: Cisco Technology, Inc.

    Inventor： Leo Marche ,  Thomas Michel-Ange Feltin ,  Andre Surcouf ,  Frank Brockners

    IPC: G06F9/50 ,  G06N3/08

    Abstract: This disclosure describes techniques and mechanisms for enabling a user to run heavy deep learning workloads on standard edge networks without off-loading computation to a cloud, leveraging the available edge computing resources, and efficiently partitioning and distributing a Deep Neural Network (DNN) over a network. The techniques enable the user to split a workload into multiple parts and process the workload on a set of smaller, less capable compute nodes in a distributed manner, without compromising on performance, and while meeting a Service Level Objective (SLO).

    Discovering trustworthy devices using attestation and mutual attestation
    30.
    发明授权
    Discovering trustworthy devices using attestation and mutual attestation 有权

    公开(公告)号：US11411994B2

    公开(公告)日：2022-08-09

    申请号：US16839576

    申请日：2020-04-03

    Applicant: Cisco Technology, Inc.

    Inventor： Sujal Sheth ,  Shwetha Subray Bhandari ,  Eric Voit ,  William F. Sulzen ,  Frank Brockners

    IPC: H04L29/06 ,  H04L9/40

    Abstract: Systems, methods, and computer-readable media for discovering trustworthy devices through attestation and authenticating devices through mutual attestation. A relying node in a network environment can receive attestation information from an attester node in the network environment as part of a unidirectional push of information from the attester node according to a unidirectional link layer communication scheme. A trustworthiness of the attester node can be verified by identifying a level of trust of the attester node from the attestation information. Further, network service access of the attester node through the relying node in the network environment can be controlled based on the level of trust of the attester node identified from the attestation information.

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