公开(公告)号：US11409634B2

公开(公告)日：2022-08-09

申请号：US16684278

申请日：2019-11-14

Applicant: Cisco Technology, Inc.

Inventor： Khanh V. Nguyen ,  Bojesha Nagaraja ,  Aniruddh S. Dikhit

IPC: G06F11/36 ,  G06F11/34 ,  G06F11/07 ,  G06F11/30

Abstract: Embodiments herein describe a retroactive tracer that retroactively generates traces using data stored in local caches. Rather than continually generating and collecting tracing data in a distributed system (which may requires massive amounts of storage and bandwidth), the embodiments herein store tracing data in local caches corresponding to nodes in the distributed system (e.g., a service, application, virtual machine, server, network device, etc.). When an error is detected when executing a task, the retroactive tracer can broadcast a request that the nodes send any trace data they may have corresponding to that task. The tracer can then retroactively generate the trace from the collected trace data. In contrast, if a task completes without an error, the nodes delete the trace data from their local caches (i.e., the trace data is not collected by the retroactive tracer).

公开(公告)号：US11961006B1

公开(公告)日：2024-04-16

申请号：US16368516

申请日：2019-03-28

Applicant: Cisco Technology, Inc.

Inventor： Aniruddh S. Dikhit ,  Khanh Vinh Nguyen ,  Naveen Kumar Tyagi ,  Abhilash Sreedharan Nair Mannathanil

IPC: G06N3/10 ,  G06F16/901 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06N3/10 ,  G06F16/9024 ,  G06N3/04 ,  G06N3/08

Abstract: Techniques for orchestrating a workflow for configuring a computer networking environment or other complex workflows are described. A Directed Acyclic Graph (DAG) that defines a plurality of tasks to be executed to complete the workflow and a plurality of orders between the tasks is received. Embodiments generate a State-Machine Neural Network (SNN) based on the received DAG, by generating a plurality of SNN neurons for the SNN, based on the plurality of tasks within the received DAG and generating a plurality of SNN connections for the SNN, connecting pairs of SNN neurons within the plurality of SNN neurons, based on the plurality of connections within the received DAG. The SNN is executed to orchestrate the workflow by sending and receiving signals to and from the SNN neurons.