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公开(公告)号:US11620173B2
公开(公告)日:2023-04-04
申请号:US17213707
申请日:2021-03-26
Applicant: Slack Technologies, Inc.
Inventor: Jenna Zeigen , Natalie Qabazard , Anuj Nair , Aaron Maurer , Yiling Chen
Abstract: Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.
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公开(公告)号:US20220308981A1
公开(公告)日:2022-09-29
申请号:US17213707
申请日:2021-03-26
Applicant: Slack Technologies, Inc.
Inventor: Jenna Zeigen , Natalie Qabazard , Anuj Nair , Aaron Maurer , Yiling Chen
Abstract: Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.
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