DOI: https://doi.org/10.15587/2313-8416.2015.37461

Anomaly detection technique for web applications performance using kendall's rank correlation coefficient

Антон Александрович Сытник

Abstract


This article presents the anomaly detection technique in web applications performance using Kendall’s rank correlation coefficient. Theoretical stages are described and simulation modeling to detect such anomalies in web applications performance is conducted. This technique makes possible to detect performance anomaly for web applications, based on correlation relationships between variables, but it doesn’t give any details on where exactly the anomaly occurred in the source code and why


Keywords


anomaly detection; web applications; Kendall’s rank correlation coefficient

References


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GOST Style Citations


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Benesty, A. A. Pearson Correlation Coefficient [Text] / A. Benesty, A. Chen. – Springer Berlin Heidelberg, 2009. –326 p.

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Kiczales, G. Aspect-Oriented Programming [Text] / G. Kiczales, J. Lamping, A. Mendhekar, C. Maeda, C. L. Videira, J. M. Loingtier, J. Irwin // In Proceedings of the 11th European Conference on Object Oriented Programming, 1997. – P. 220–242. doi: 10.1007/bfb0053381 

Cherkasova, L. Anomaly? Application Change? or Workload Change? Towards Automated Detection of Application Performance Anomaly and Change [Text] / L. Cherkasova, K. M. Ozonat, M. Ningfang, J. Symons, E. Smirni // In Proceedings of the International Conference on Dependable Systems and Networks, 2008. – P. 452–461. doi: 10.1109/dsn.2008.4630116 

Aguilera, M. K. Performance debugging for distributed systems of black boxes [Text]. / M. K Aguilera, J. C. Mogul, J. L. Wiener, P. Reynolds and A. Muthitacharoen, – In Proceedings of the nineteenth ACM symposium on Operating Systems Principles, 2003. –74–89.

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TPC-W – Benchmarking an Ecommerce Solution [Electronic resource] / Available at: http://www.tpc.org/tpcw/ – 18.01.2015. — Загл. с экрана.

MySQL: The World's Most Popular Open Source Database [Electronic resource] / Available at: http://www.mysql.com/ – 18.01.2015. – Загл. с экрана.

jeeObserver. J2EE performance monitoring tool [Electronic resource] / Available at: http://www.jeeobserver.com – 18.01.2015. – Загл. с экрана.

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JavaMelody. Monitoring of JavaEE applications [Electronic resource] / Available at: http://code.google.com/p/javamelody/ – 18.01.2015 г. – Загл. с экрана.



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