Performance Evaluation Approach for Multi-Tier Cloud Applications

Abstract


Complex multi-tier applications deployed in cloud computing environments can experience rapid changes in their workloads. To ensure market readiness of such applications, adequate resources need to be provisioned so that the applications can meet the demands of specified workload levels and at the same time ensure that service level agreements are met. Multi-tier cloud applications can have complex deployment configurations with load balancers, web servers, application servers and database servers. Complex dependencies may exist between servers in various tiers. To support provisioning and capacity planning decisions, performance testing approaches with synthetic workloads are used. Accuracy of a performance testing approach is determined by how closely the generated synthetic workloads mimic the realistic workloads. Since multi-tier applications can have varied deployment configurations and characteristic workloads, there is a need for a generic performance testing methodology that allows accurately modeling the performance of applications. We propose a methodology for performance testing of complex multi-tier applications. The workloads of multi-tier cloud applications are captured in two different models-benchmark application and workload models. An architecture model captures the deployment configurations of multi-tier applications. We propose a rapid deployment prototyping methodology that can help in choosing the best and most cost effective deployments for multi-tier applications that meet the specified performance requirements. We also describe a system bottleneck detection approach based on experimental evaluation of multi-tier applications.


Share and Cite:

A. Bahga and V. Madisetti, "Performance Evaluation Approach for Multi-Tier Cloud Applications," Journal of Software Engineering and Applications, Vol. 6 No. 2, 2013, pp. 74-83. doi: 10.4236/jsea.2013.62012.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] A. Bahga and V. K. Madisetti, “Synthetic Workload Generation for Cloud Computing Applications,” Journal of Software Engineering and Applications, Vol. 4, No. , 2011, pp. 396-410. doi:10.4236/jsea.2011.47046
[2] SPECweb99, 2012. http://www.spec.org/osg/web99
[3] P. Barford and M. E. Crovella, “Generating Representative Web Workloads for Network and Server Performance Evaluation,” SIGMETRICS, Vol. 98, 1998, pp. 151-160.
[4] D. Krishnamurthy, J. A. Rolia and S. Majumdar, “SWAT: A Tool for Stress Testing Session-Based Web Applications,” Proceedings of International CMG conference, Dallas, 7-12 December 2003, pp. 639-649.
[5] H. P. LoadRunner, 2012. http://www8.hp.com/us/en/software/software-product.html?compURI=tcm: 245-935779
[6] A. Mahanti, C. Williamson and D. Eager, “Traffic Analysis of a Web Proxy Caching Hierarchy,” IEEE Network, Vol. 14, No. 3, 2000, pp. 16-23. doi:10.1109/65.844496
[7] S. Manley, M. Seltzer and M. Courage, “A Self-Scaling and Self-Configuring Benchmark for Web Servers,” Proceedings of the ACM SIGMETRICS Conference, Madison, 22-26 June 1998.
[8] Webjamma, 2012. http://www.cs.vt.edu/ chitra/webjamma.html,
[9] G. Abdulla, “Analysis and Modeling of World Wide Web Traffic,” Ph.D. Thesis, Chair-Edward A. Fox, 1998.
[10] M. Crovella and A. Bestavros, “Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes, IEEE/ ACM Trans,” Networking, Vol. 5, No. 6, 1997, pp. 835- 846. doi:10.1109/90.650143
[11] D. Mosberger and T. Jin, “httperf: A Tool for Measuring Web Server Performance,” ACM Performance Evaluation Review, Vol. 26, No. 3, 1998, pp. 31-37. doi:10.1145/306225.306235
[12] D. Garcia and J. Garcia, “TPC-W E-Commerce Benchmark Evaluation,” IEEE Computer, 2003.
[13] RUBiS, 2012. http://rubis.ow2.org
[14] TPC-W, 2012. http://jmob.ow2.org/tpcw.html
[15] Faban, 2012. http://faban.sunsource.net
[16] 2012. http://www.mysql.com/products/cluster
[17] 2012. http://memcached.org

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.