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Reseach Article

Article:Performance Comparison of Web Services under Simulated and Actual Hosted Environments

by Sandesh Tripathi, S Q Abbas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 5
Year of Publication: 2010
Authors: Sandesh Tripathi, S Q Abbas
10.5120/1578-2110

Sandesh Tripathi, S Q Abbas . Article:Performance Comparison of Web Services under Simulated and Actual Hosted Environments. International Journal of Computer Applications. 11, 5 ( December 2010), 20-23. DOI=10.5120/1578-2110

@article{ 10.5120/1578-2110,
author = { Sandesh Tripathi, S Q Abbas },
title = { Article:Performance Comparison of Web Services under Simulated and Actual Hosted Environments },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 5 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number5/1578-2110/ },
doi = { 10.5120/1578-2110 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:19.557616+05:30
%A Sandesh Tripathi
%A S Q Abbas
%T Article:Performance Comparison of Web Services under Simulated and Actual Hosted Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 5
%P 20-23
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web Services are modular applications that are published, advertised, discovered and invoked across a network, i.e, an Intranet or the Internet. It is based on the software services model, in which these may participate as individual or as a component of other services and applications. This research follows a performance testing approach for Web Services under simulated and actual hosted environment. The study compares the performance parameters –response time, throughput for web services, which helps the developer in early development life cycle of web services. Such study helps in tuning the applications before putting it before the world. Our measurements suggest that from modeling perspective web services can be simulated first and tested for various performance metrics, which give results close to the original one.

References
  1. Menasce, D.A., Almeida, V.A.F.Dowdy, L.W (2004). Performance by Design: Computer Capacity Planning by Example. Prentice Hall, 2004
  2. Shahram Ghandeharizadeh, Christos Papadopoulos, Parikshit Pol, Runfang Zhou. NAM:A Network Adaptable Middleware to Enhance Response Time of Web Services. In proceedings of the IEEE/ACM International symposium on Modelling, Analysis and Simulation of Computer Telecommunications Systems.
  3. Osama Hamad, Nedal Kafri. Performance Prediction of web based Application Architecture Case Study: .Net vs JavaEE. International journal of Web Applications, Vol1,Number3,146-155
  4. Aniruddha S. Gokhle, Douglous C.Schmidt, Measuring and optimizing CORBA latency and Scalability over high Speed Networks.IEEE Transactions on Computers, Vol.47,No.4,April 1998
  5. V. Almeida, J.Almeida, and C.Murta.Performance analysis of a WWW Server. Technical Report 1996-018, Computer Science Department, Boston University and UFMG. Aug. 1996
  6. Eduard Hasenleithner Thomas Ziegler. Comparision of Simulation and measurement using state of art web traffic models. In proceedings of the Eigth IEEE International Symposium on Computers and Communication(ISCC’03)
  7. R.van der Mei, R. Hariharan, and P. Reeseer. Web Server performance modeling. Telecommunication systems, 16(3-4):316-378, 2001
  8. P.Badford and M. Crovella. Generating representative web workloads for network and server performance evaluation. In proceedings of the ACM SIGMETRICS conference, Madison, WI, July 1998
  9. Lisa Wells, Soren Christensen, Lars M. Cristensen, and Kjed H. Mortensen. Simulation Based Performance Analysis of Web Servers. In Proceedings of the 9th International Workshop on Petri Nets and Performance Models (PNPM’01), 2001
  10. Matjaz B. Bostjan Kezmah, Marjan Hericko, Ivon Rozman, Ivan Vezocnik. Java RMI, RMI Tunneling and Web Services Comparision and Performance Analysis. ACM SIGPLAN ,58-65, Vol.39(5), May 2004
  11. M. Cai, S. Ghandehrizadeh, R. Schmidt, and S. Song. A Comparison of Alternative Encoding Mechanisms for Web Services. In proceedings of DEXA Conference, August 2002
  12. Govindaraju, M. Slominiski, A. Chiu, K. Liu, P.etc. Characterizing the Performance of SOAP toolkits. In proceedings of the 5th IEEE/ACM International Workshop on Grid Computing. Pittsburg, U SA, 2004,365-372
  13. Nathan Meyers, Java Programming on Linux, Macmillan Publishing, 1999
  14. M.Artit and C.Williamson. Internet Web Servers: Work Load Characterization and Performance Implications,IEEE Transactions on Networking,5(5):661-645,1997
  15. Davis, D. and Parashar, M. Latency Performance of SOAP Implementations. In the proceedings of the 2nd IEEE/ACM International symposium on Cluster Computing and Grid Computing(CCGRID).Berlin, Germany,2002,785-790
  16. Simon E. Spero. Analysis of HTTP performance problems
  17. Ng,A. Chen, S. and Greenfield, P. Evaluation of Contemporary Commercial SOAP. In proceedings of the 5th Australian Workshop on Software and System Architectures (AWSA), Melbourne, Australia, 2003, 64-71
  18. Ana C. C. Machado. Carlos A. G. Ferraz. Guidelines for Performance Evaluation of Web Services. WebMedia’05, December 5-7, 2005, Pocos de Caldas, MG, Brazil
  19. F.Cohen, “Discover SOAP encoding’s impact on Web Service Performance”, http://www.128.ibm.com/developerworks/webservices/library/ws-soapenc/
  20. T.Bell, J.Cleary, and I.Witten. Text Compression. Chapter 1, Prentice Hall, Englewood Cliffs,NJ,1990
Index Terms

Computer Science
Information Sciences

Keywords

Web Services Performance Performance Modeling Throughput Response Time