DocumentCode :
2264585
Title :
Performance problems diagnosis in cloud computing systems by mining request trace logs
Author :
Mi, Haibo ; Wang, Huaimin ; Yin, Gang ; Cai, Hua ; Zhou, Qi ; Sun, Tingtao
Author_Institution :
Nat. Lab. for Parallel & Distrib. Process., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2012
fDate :
16-20 April 2012
Firstpage :
893
Lastpage :
899
Abstract :
In cloud computing systems, end-to-end request tracing approach is helpful for developers to understand the runtime behavior of user requests. Based on trace logs, we propose an approach to localize the abnormal methods that are the primary causes of performance problems. Our approach involves three steps: (1) cluster the user requests into different categories according to request call sequences and select major categories; (2) extract the principal methods that might be the causes of performance degradation; (3) pick out abnormal methods from those principal methods in each major category. We conduct four cases of performance degradations to validate our approach over a real-world enterprise-class cloud computing platform. The experimental results show that our approach can locate the prime causes of performance problems with low false-positive rate and false-negative rate.
Keywords :
business data processing; cloud computing; data mining; pattern clustering; software performance evaluation; abnormal methods; end-to-end request tracing approach; enterprise-class cloud computing platform; performance degradations; performance problem diagnosis; principal method extraction; request call sequences; request trace log mining; user request clustering; user request runtime behavior; Cloud computing; Companies; Computer bugs; Degradation; Merging; Principal component analysis; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
ISSN :
1542-1201
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
Type :
conf
DOI :
10.1109/NOMS.2012.6212005
Filename :
6212005
Link To Document :
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