Invention Grant
- Patent Title: Run-time determination of application performance with low overhead impact on system performance
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Application No.: US16260917Application Date: 2019-01-29
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Publication No.: US11275672B2Publication Date: 2022-03-15
- Inventor: Farzad Khosrowpour , Amihai Savir , Anat Parush Tzur
- Applicant: EMC IP Holding Company LLC
- Applicant Address: US MA Hopkinton
- Assignee: EMC IP Holding Company LLC
- Current Assignee: EMC IP Holding Company LLC
- Current Assignee Address: US MA Hopkinton
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F11/36 ; G06N20/00

Abstract:
Techniques are disclosed for determining the run-time performance of an application executing on a computing system with low impact on the performance of the computing system. For example, a time series telemetry data stream is obtained for each of a plurality of key performance indicators during run-time execution of the application on a computing system having a given system configuration. One or more statistical features are extracted from each time series telemetry data stream. Model parameters of a machine learning performance score model are populated with values of the extracted statistical features. A run-time performance score of the application is then determined using the model parameters of the machine learning performance score model populated with the values of the extracted statistical features.
Public/Granted literature
- US20200242000A1 RUN-TIME DETERMINATION OF APPLICATION PERFORMANCE WITH LOW OVERHEAD IMPACT ON SYSTEM PERFORMANCE Public/Granted day:2020-07-30
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