METHOD AND APPARATUS FOR DETERMINING SHELF-LIFE OF ISSUE DETECTED USING DIGITIZED INTELLECTUAL CAPITAL

    公开(公告)号:US20250077337A1

    公开(公告)日:2025-03-06

    申请号:US18457001

    申请日:2023-08-28

    Abstract: Methods are provided for determining decay rates and/or shelf-lives of intellectual capital (IC) detected issues for only performing actions for expired or about to expire IC detected issues. Specifically, the methods involve performing one or more data collections that include data relating to one or more of a configuration of a computing system or an operation of the computing system and detecting an issue in the computing system based on the data. The issue relates to an anomaly in one or more of the configuration of the computing system or the operation of the computing system. The methods further involve determining a shelf-life for the issue, where the shelf-life indicates an estimated duration of the issue existing in the computing system before redetecting whether the issue is still present and adjusting a next data collection of the one or more data collections based on the shelf-life of the issue.

    Distributed virtualization of telemetry processing with IP anycast

    公开(公告)号:US12278737B2

    公开(公告)日:2025-04-15

    申请号:US17978259

    申请日:2022-11-01

    Abstract: Presented herein are techniques to analyze network traffic and equipment based on telemetry generated by a plurality of network devices. A method includes generating first telemetry at a first network device, receiving, at the first network device, via an Internet Protocol anycast addressing scheme, at least one of second telemetry generated at a second network device, and third telemetry generated at a third network device, performing, on the first network device using a local processing unit, first analytics on the first telemetry, performing, on the first network device using the local processing unit, second analytics on the at least one of the second telemetry and the third telemetry, and transmitting data resulting from the first analytics and the second analytics to a fourth network device.

    TRUST-BASED MODEL FOR DEPLOYING ISSUE IDENTIFICATION AND REMEDIATION CODE

    公开(公告)号:US20250117201A1

    公开(公告)日:2025-04-10

    申请号:US18482138

    申请日:2023-10-06

    Abstract: A method, computer system, and computer program product are provided for selectively deploying code modules for issue identification and remediation tasks. A plurality of code modules is obtained, wherein each code module includes instructions for issue identification and remediation. A trust score for each code module of the plurality of code modules is determined, wherein the trust score includes a first trust score component for issue identification and a second trust score component for issue remediation, and wherein the trust score is based on a source of each code module selected from a group of a human-generated source and an artificial intelligence model-generated source. A particular code module of the plurality of code modules is deployed based on the trust score of the particular code module satisfying a threshold value. The trust score for the particular code module is updated based on results of deploying the particular code module.

    DISTRIBUTED VIRTUALIZATION OF TELEMETRY PROCESSING WITH IP ANYCAST

    公开(公告)号:US20240146614A1

    公开(公告)日:2024-05-02

    申请号:US17978259

    申请日:2022-11-01

    CPC classification number: H04L41/14 H04L43/062 H04L61/5069

    Abstract: Presented herein are techniques to analyze network traffic and equipment based on telemetry generated by a plurality of network devices. A method includes generating first telemetry at a first network device, receiving, at the first network device, via an Internet Protocol anycast addressing scheme, at least one of second telemetry generated at a second network device, and third telemetry generated at a third network device, performing, on the first network device using a local processing unit, first analytics on the first telemetry, performing, on the first network device using the local processing unit, second analytics on the at least one of the second telemetry and the third telemetry, and transmitting data resulting from the first analytics and the second analytics to a fourth network device.

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