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公开(公告)号:US20160378648A1
公开(公告)日:2016-12-29
申请号:US14754092
申请日:2015-06-29
发明人: Vijay Ekambaram , Sachidanand Mangala Basavanna , Ashish K. Mathur , Nitendra Rajput , Vivek Sharma
IPC分类号: G06F11/36
CPC分类号: G06F11/3612 , G06F11/00 , G06F11/3616 , G06F11/366 , G06F11/3664 , G06F11/3684 , G06F11/3688 , G06F11/3692
摘要: Identification and dynamic ranking of performance issues. For an instance of a performance anti-pattern, identifying and recording information relating to a resultant performance issue, quantifying the magnitude of the performance issue, and dynamically ranking the performance issue against other performance issues.
摘要翻译: 性能问题的识别和动态排名。 对于性能反模式的实例,识别和记录与所产生的性能问题有关的信息,量化性能问题的大小,并且针对其他性能问题动态地排列性能问题。
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公开(公告)号:US10241891B2
公开(公告)日:2019-03-26
申请号:US14754092
申请日:2015-06-29
发明人: Vijay Ekambaram , Sachidanand Mangala Basavanna , Ashish K. Mathur , Nitendra Rajput , Vivek Sharma
摘要: Identification and dynamic ranking of performance issues. For an instance of a performance anti-pattern, identifying and recording information relating to a resultant performance issue, quantifying the magnitude of the performance issue, and dynamically ranking the performance issue against other performance issues.
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公开(公告)号:US20170132110A1
公开(公告)日:2017-05-11
申请号:US15410029
申请日:2017-01-19
发明人: Vijay Ekambaram , Sachidanand Mangala Basavanna , Ashish K. Mathur , Nitendra Rajput , Vivek Sharma
IPC分类号: G06F11/36
摘要: Identification and dynamic ranking of performance issues. For an instance of a performance anti-pattern, identifying and recording information relating to a resultant performance issue, quantifying the magnitude of the performance issue, and dynamically ranking the performance issue against other performance issues.
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公开(公告)号:US10585777B2
公开(公告)日:2020-03-10
申请号:US15410029
申请日:2017-01-19
发明人: Vijay Ekambaram , Sachidanand Mangala Basavanna , Ashish K. Mathur , Nitendra Rajput , Vivek Sharma
摘要: Identification and dynamic ranking of performance issues. For an instance of a performance anti-pattern, identifying and recording information relating to a resultant performance issue, quantifying the magnitude of the performance issue, and dynamically ranking the performance issue against other performance issues.
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