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Performance Analysis of Web Applications on IaaS Cloud Computing Platform

by Sapna Addamani, Anirban Basu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 15
Year of Publication: 2013
Authors: Sapna Addamani, Anirban Basu
10.5120/10707-5668

Sapna Addamani, Anirban Basu . Performance Analysis of Web Applications on IaaS Cloud Computing Platform. International Journal of Computer Applications. 64, 15 ( February 2013), 1-6. DOI=10.5120/10707-5668

@article{ 10.5120/10707-5668,
author = { Sapna Addamani, Anirban Basu },
title = { Performance Analysis of Web Applications on IaaS Cloud Computing Platform },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 15 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number15/10707-5668/ },
doi = { 10.5120/10707-5668 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:29.972960+05:30
%A Sapna Addamani
%A Anirban Basu
%T Performance Analysis of Web Applications on IaaS Cloud Computing Platform
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 15
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a queuing model for performance analysis of web applications on a Cloud Environment. In this model, the IaaS cloud computing platform is modeled as multiple queues and the virtual machines VMs are modeled as service centers. The instances act as virtual machines and VMs run on servers, its number decided a priori before running an application. The model is based on the Reserved Instances behavior of applications on Amazon EC2 [1]. The web applications running on the Cloud platform were analyzed to determine the statistical distributions of the relevant parameters and experiments were conducted for validation of the model by running the web applications on EC2. Results show that the model though simple can predict the performance accurately.

References
  1. Amazon EC2, http://aws. amazon. com/ec2
  2. Rajkumar Buyya and Karthik Sukumar, Platforms for Building and Deploying applications for Cloud Computing, CSI Communications, May 2011, Vol. 35. No. 1. pp. 6-11
  3. www. phoronix-test-suite. com
  4. Jorg Schad, Jens Dittrich, Jorge-Arnulfo Quian´e-Ruiz, "Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance", Proceedings of VLDB Endowment. Vol. 3. No. 1. pp. 460- 471.
  5. Y Mei. L Liu, X Pu, S Sivathanu. "Performance Measurements and Analysis of Network I/O Applications in Virtualized Cloud". Proc. IEEE International Conference on Cloud Computing, Miami, Fl, July 2010
  6. Alexandru Iosup, Simon Ostermann, M. Nezih Yigitbasi, Radu Prodan, Thomas Fahringer, and Dick H. J. Epema, "Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing", IEEE Trans. On Parallel and Distributed Systems, Vol. 22, No. 6. June 2011, pp. 931-945.
  7. Keith R. Jackson, Lavanya Ramakrishnan, Krishna Muriki, Shane Canon, Shreyas Cholia, John Shaif, Harvey Wasserman and Nicholas Wright, " Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud". Proc. IEEE Second International Conference on Cloud Computing Technologies Science, 2010.
  8. Nikolaus Huber, Marcel von Quast, M Hauck and S Kounev " Evaluating and modeling virtualization performance overhead for cloud environments", 2011.
  9. Vladmir Stantchev, "Performance Evaluation of Cloud Computing offerings". Proc. 2009 Third International Conference on Advanced Engineering Computing and Application in Sciences, pp. 187-192
  10. Rajkumar Buyya, Rajiv Ranjan and Rodrigo N. Calheiros1,"Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities", Proc. of International Conference on High Performance Computing & Simulation, 2009, June 2009. pp. 1-11
  11. . Ahmed Khurshid, Abdullah Al-Nayeem, and Indranil Gupta, " Performance Evaluation of the Illinois Cloud Computing Testbed", Technical Report, Department of Computer Science University of Illinois at Urbana-Champaign, 2009
  12. Rodrigo N. Calheiros, Rajiv Ranjan, and Rajkumar Buyya," Virtual Machine Provisioning Based on Analytical Performance and QoS in Cloud Computing Environments", Proc. International Conference on Parallel Processing (ICPP), Sept2011pp. 295-304.
  13. . Paul Brebner and Anna Liu,"Performance and Cost Assessment of Cloud Services", Proc of Int. Conference on Service Oriented Computing, 2010, pp. 39-50
  14. Hamzeh Khazaei,. Jelena Misic and Vojislav B Misic, "Modelling of Cloud Computing Centers Using M/G/m Queues", Proc. 2011 31st International Conference on Distributed Computing Workshops, pp. 87-92
  15. K S Trivedi, Rahul Ghosh and Vijay K Naik, "Performance and Availability Analysis for Infrastructure as a Service Cloud", Proc. CONSEG 2011, International Conference on Software Engineering, Bangalore, Feb 2011, pp. 106-111
  16. Hao-peng CHEN, Shao-chong LI,"A Queuing-based Model for Performance Management on Cloud", Proc. 2010 6th International Conference on Advanced Information Management and Service (IMS), pp. 83-88
  17. A M Alijohani, D R W Holton, I Awan and J S Alanazi, "Performance Evaluation of Local and Cloud Deployment of Web Clusters". Proc. 2011 International Conference on Network-Based Information Systems, pp. 274- 278
  18. Kaiqi Xiong and Harry Perros, "Service Performance and Analysis in Cloud Computing", Proc. of the IEEE Congress on Services-IEEE Cloud 2009.
  19. Marco Bertoli, Giuliano Casale, Giuseppe S, JMT: performance engineering tools for system modeling, ACM SIGMETRICS Performance Evaluation Review, Volume 36 Issue 4, March 2009, pp. 10-15
  20. www. minitab. com
  21. K S Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications, Wiley, 2001
  22. Sapna Addamani and Anirban Basu "Performance Analysis of Cloud Computing Platform", International Journal of Applied Information Systems ISSN:2249-0868, Vol. 4, No. 4, October 2012, pp. 29- 33
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Performance Evaluation Benchmarking Closed Queuing Network JMT Tool

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