CFP last date
20 January 2025
Reseach Article

Article:Architecture for Evaluating Web Service QoS Parameters using Agents

by M.Thirumaran, P.Dhavachelvan, S.Abarna, G.Aranganayagi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 4
Year of Publication: 2010
Authors: M.Thirumaran, P.Dhavachelvan, S.Abarna, G.Aranganayagi
10.5120/1470-1985

M.Thirumaran, P.Dhavachelvan, S.Abarna, G.Aranganayagi . Article:Architecture for Evaluating Web Service QoS Parameters using Agents. International Journal of Computer Applications. 10, 4 ( November 2010), 15-21. DOI=10.5120/1470-1985

@article{ 10.5120/1470-1985,
author = { M.Thirumaran, P.Dhavachelvan, S.Abarna, G.Aranganayagi },
title = { Article:Architecture for Evaluating Web Service QoS Parameters using Agents },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 4 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number4/1470-1985/ },
doi = { 10.5120/1470-1985 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:51.689598+05:30
%A M.Thirumaran
%A P.Dhavachelvan
%A S.Abarna
%A G.Aranganayagi
%T Article:Architecture for Evaluating Web Service QoS Parameters using Agents
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 4
%P 15-21
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As Web services have become the grand vision these days, more and more people are seeking out the practicalities of implementing and using them for business benefit. Thus Web services make application functionality available over the Internet in a standardized, programmatic way. QoS support for Web service has become a widely researched area and has shown to be an effective mechanism in Web services’ discovery particularly in differentiating between services that share similar functionalities and finally by evaluating QOS and providing interface for selecting the web service. In this paper, we are providing a sophisticated architecture for quality driven web service evaluation. Agents are used to evaluate the QWS parameters. This work also discussed about the quality attributes with organized set of design related questions which helps an evaluator to analyze the ability of the architecture to meet quality requirements, and provides a brief sample evaluation. ATAM method of software architecture evaluation is used to evaluate the proposed model. The assessment justifies the proposal in terms of the performance attributes such as reliability, availability, modifiability, security and interoperability etc.

References
  1. Liang, Q.A., Miller, S., Chung, J.-Y., 2005. “Service mining for Web service composition”, IEEE International Conference on. Information Reuse and Integration2005, Volume, Issue, 15-17 Page(s): 470 – 475, Aug. 2005.
  2. Qianhui Liang, Jen-Yao Chung, Steven Miller, Ouyang Yang, 2006." Service Pattern Discovery of Web Service Mining in Web Service Registry-Repository", IEEE International Conference on E-Business Engineering, Pages: 286-293, 2006.
  3. Qianhui Liang J. Y. Chung, 2007 “Analyzing Service Usage Patterns: Methodology and Simulation” IEEE International Conference on e-Business Engineering (ICEBE'07) pp. 359-362.
  4. Zheng, George, Bouguettaya, Athman, July 2007. “A Web Service Mining Framework”, IEEE International Conference on Web Services, Volume, Issue, 9-13 Page(s):1096 – 1103.
  5. Mohsen Rouached , Walid Gaaloul , Wil M. P. van der Aalst , Sami Bhiri and Claude Godart,”Web Service Mining and Verification of Properties: An Approach Based on Event Calculus”, Cooperative Information Systems (CoopIS) 2006 International Conference, Springer Berlin / Heidelberg, Volume 4275/2006, Pages 408-425,2006.
  6. Walid Gaaloul, Sami Bhiri, Claude Godart, 2006. “Research Challenges and Opportunities in Web Services Mining” ICWS’06 September 2006.
  7. Schahram Dustdar, Robert Gombotz,2006.” Discovering web service workflows using web services interaction mining”, International Journal of Business Process Integration and Management ,Vol. 1, No.4 pp. 256 - 266.
  8. Chhabra, Manish Lu, Hongen La Trobe University, Australia, 2007.”Towards Agent Based Web Service ”, International Conference on Computer and Information Science, On page(s): 93-99.
  9. Bin Li; Xiao-Yan Tang; Jian Lv, 2005 .“The Research and Implematation of Services Discovery Agent in Web Services Composition Framework ” Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Volume 1, Issue , 18-21 Page(s): 78 – 84, Aug. 2005.
  10. Vinoski, S.2003.” Service discovery 101”, IEEE Internet Computing Volume 7, Issue 1, Page(s): 69 – 71 Jan/Feb 2003.
  11. Slim Trabelsi, Jean-Christphe Pazzaglia and Yves Roudier, “Secure Web service discovery: overcoming challenges of ubiquitous computing” The European Conference on Web Services, ECOWS’06.
  12. Colin Atkinson and Philipp Bostan,“A Practical Approach to Web Service Discovery and Retrieval” IEEE International Conference on Web Services, ICWS 2007.
  13. Janette Hicks, Madhusudhan Govindaraju, Weiyi Meng, “Search Algorithms for Discovery of Web Services” IEEE International Conference on Web Services, ICWS 2007.
  14. ZHANG Changyou1 and ZHU Dongfeng, “A Web Service Discovery Mechanism Based on Immune Communication” International Conference on Convergence Information Technology, 2007.
  15. Henry Song and Doreen Cheng, “Web Service Discovery Using General Purpose Search Engines” IEEE International Conference on Web Services, ICWS 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Web services QWS parameters agents software architecture ATAM