The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 31, 2023

Filed:

Nov. 18, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Bo Shen, Xi'an, CN;

Yao Dong Liu, Xi'an, CN;

Jing James Xu, Xi'an, CN;

Lei Gao, Xi'an, CN;

Yan Liu, Xi'an, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 43/50 (2022.01); H04L 43/0817 (2022.01); G06F 17/18 (2006.01); H04L 43/0864 (2022.01); H04L 43/045 (2022.01); H04L 43/067 (2022.01);
U.S. Cl.
CPC ...
H04L 43/50 (2013.01); G06F 17/18 (2013.01); H04L 43/045 (2013.01); H04L 43/067 (2013.01); H04L 43/0817 (2013.01); H04L 43/0864 (2013.01);
Abstract

A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times. The execution time of a performance test run in the remote cluster environment is then generated that takes into consideration the compensation time predicted by the regression model.


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