Clustering performance anomalies in web applications based on root causes

Satoshi Iwata, Kenji Kono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We propose a performance anomaly clustering method for determining suspicious components in web applications. Our clustering method clusters observed anomalies based on their root causes. The key insight behind our method is that the measurements of anomalies that are negatively affected by the same root cause deviates similarly from standard measurements. The results of case studies, which were conducted using RUBiS [8], an auction prototype modeled after eBay.com [5], are encouraging. From the clustering results, we searched for the components exclusively used by each cluster and successfully determined suspicious components such as server processes, Enterprise Beans, and methods in an Enterprise Bean.

Original languageEnglish
Title of host publicationProceedings of the 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops
Pages221-224
Number of pages4
DOIs
Publication statusPublished - 2011
Event8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops - Karlsruhe, Germany
Duration: 2011 Jun 142011 Jun 18

Other

Other8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops
CountryGermany
CityKarlsruhe
Period11/6/1411/6/18

Fingerprint

Web Application
Anomaly
Bean
Roots
Clustering
Clustering Methods
Industry
Servers
Auctions
Server
Prototype

Keywords

  • dependability
  • performance anomalies
  • root cause analysis

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

Iwata, S., & Kono, K. (2011). Clustering performance anomalies in web applications based on root causes. In Proceedings of the 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops (pp. 221-224) https://doi.org/10.1145/1998582.1998634

Clustering performance anomalies in web applications based on root causes. / Iwata, Satoshi; Kono, Kenji.

Proceedings of the 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops. 2011. p. 221-224.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Iwata, S & Kono, K 2011, Clustering performance anomalies in web applications based on root causes. in Proceedings of the 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops. pp. 221-224, 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops, Karlsruhe, Germany, 11/6/14. https://doi.org/10.1145/1998582.1998634
Iwata S, Kono K. Clustering performance anomalies in web applications based on root causes. In Proceedings of the 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops. 2011. p. 221-224 https://doi.org/10.1145/1998582.1998634
Iwata, Satoshi ; Kono, Kenji. / Clustering performance anomalies in web applications based on root causes. Proceedings of the 8th ACM International Conference on Autonomic Computing, ICAC 2011 and Co-located Workshops. 2011. pp. 221-224
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