Invention Grant
- Patent Title: Faulty distributed system component identification
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Application No.: US17012314Application Date: 2020-09-04
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Publication No.: US11425232B2Publication Date: 2022-08-23
- Inventor: Richard Huddleston , Ahmed Jedda
- Applicant: MORGAN STANLEY SERVICES GROUP INC.
- Applicant Address: US NY New York
- Assignee: MORGAN STANLEY SERVICES GROUP INC.
- Current Assignee: MORGAN STANLEY SERVICES GROUP INC.
- Current Assignee Address: US NY New York
- Agency: Weitzman Law Offices, LLC
- Main IPC: H04L69/40
- IPC: H04L69/40 ; G06F11/07 ; H04L45/00 ; G06N3/04 ; H04L49/90 ; H04L41/0654

Abstract:
A system for detecting a communications computer network node malfunction by analysis of network traffic output by the network node. Low latency packet capture nodes copy network traffic and transmit it to an analytics engine, which may use machine learning techniques, including long short-term memory (LSTM) neural networks, to determine a likelihood that the output of one data router in a network is suffering from a software malfunction, hardware malfunction, or network connectivity issue, and preserve overall data quality in the network by causing cessation of traffic by the malfunctioning node of the network.
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