公开(公告)号：US20220078072A1

公开(公告)日：2022-03-10

申请号：US17017390

申请日：2020-09-10

Applicant: Cisco Technology, Inc.

Inventor： Ammar Rayes ,  Arun Mammen Thomas ,  Samer Salam ,  Michael Michaelides ,  Arabinda Samantaray ,  Madhavan Kasthurirangan ,  Ram Prasanna Govind Krishnan ,  Asad Ghayas Ahmed ,  Thuan Quang Truong ,  Ajay Madhavan ,  Xixi Luo ,  Samhith Venkatesh

IPC: H04L12/24

Abstract: The present technology addresses a need in the art for a closed-loop automation system of a managed network that detects and fixes an issue in the managed network with minimal to no human intervention. The closed-loop automation system employs a domain-independent semantic machine reasoning engine as an underlying engine. After detecting the issue in the managed network, the system searches through a knowledge base to find a match for the detected issue. The knowledge base includes previously collected knowledge from subject matter experts and maintenance teams. The system then proposes a remedial action to a user of the managed network for approval. After approval by the user, the system implements the remedial action.

公开(公告)号：US20200162343A1

公开(公告)日：2020-05-21

申请号：US16368735

申请日：2019-03-28

Applicant: Cisco Technology, Inc.

Inventor： Samer Salam ,  Ajay Madhavan ,  Madhavan Kasthurirangan ,  Ram Prasanna Govind Krishnan

IPC: H04L12/24 ,  G06N5/02

Abstract: Present technology is directed to preferred processing and the verification of diagnostic signatures for a plurality of network defect. The disclosed optimization process is based on expressing each Diagnostic Signature as a minimal sum of product Boolean function of associated network commands, followed by ranking of each command reference in the product terms of the Boolean expression as well as each Boolean product terms of the SOP Boolean expressions, and constructing a decision tree based on the provided rankings to thereby determine a minimum set of commands along with an preferred command dispatch sequence for evaluating a Diagnostic Signature. Further aspects include the translation of both the optimization computation (interpretation of network conditions associated with a network defect) and the computed workflow (dispatch of the command) into a series of declarative rules that can be processed by a machine reasoning engine to thereby automate the optimization process.

公开(公告)号：US11546227B2

公开(公告)日：2023-01-03

申请号：US16368735

申请日：2019-03-28

Applicant: Cisco Technology, Inc.

Inventor： Samer Salam ,  Ajay Madhavan ,  Madhavan Kasthurirangan ,  Ram Prasanna Govind Krishnan

IPC: H04L41/16 ,  G06N5/02 ,  H04L41/0631

Abstract: Present technology is directed to preferred processing and the verification of diagnostic signatures for a plurality of network defect. The disclosed optimization process is based on expressing each Diagnostic Signature as a minimal sum of product Boolean function of associated network commands, followed by ranking of each command reference in the product terms of the Boolean expression as well as each Boolean product terms of the SOP Boolean expressions, and constructing a decision tree based on the provided rankings to thereby determine a minimum set of commands along with an preferred command dispatch sequence for evaluating a Diagnostic Signature. Further aspects include the translation of both the optimization computation (interpretation of network conditions associated with a network defect) and the computed workflow (dispatch of the command) into a series of declarative rules that can be processed by a machine reasoning engine to thereby automate the optimization process.