Title:
JAVA SOFTWARE LATENCY ANOMALY DETECTION
Document Type and Number:
WIPO Patent Application WO/2019/046996
Kind Code:
A1
Abstract:
Systems and methods provided herein are directed to automatically detecting latency anomaly from a large amount of application method latency data by a combination of statistical and clustering analyses and machine learning methods. Profile data of an application running in a computing device is collected and a predetermined set of data is excluded from the profile data. Application methods included in remaining profile data are analyzed statistically to identify a first set of application methods having abnormal latencies, and analyzed using clustering algorithms to identify a second set of application methods. A list of application methods having abnormal latencies based on at least one of the first set of application methods or the second set of application methods is then generated.
Inventors:
CHOW KINGSUM (US)
ZHU WANYI (CN)
LU CHUANSHENG (CN)
LI JIAPENG (CN)
LI SANHONG (CN)
ZHU WANYI (CN)
LU CHUANSHENG (CN)
LI JIAPENG (CN)
LI SANHONG (CN)
Application Number:
PCT/CN2017/100457
Publication Date:
March 14, 2019
Filing Date:
September 05, 2017
Export Citation:
Assignee:
ALIBABA GROUP HOLDING LTD (CN)
International Classes:
G06F9/44
Foreign References:
| US7921410B1 | 2011-04-05 | |||
| US5872976A | 1999-02-16 |
Attorney, Agent or Firm:
BEIJING TSINGYUANHUI INTELLECTUAL PROPERTY LAW FIRM (CN)
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