International Journal of Wireless and Microwave Technologies (IJWMT)
IJWMT Vol. 2, No. 4, 15 Aug. 2012
Cover page and Table of Contents: PDF (size: 992KB)
A Novel Method of Web Services Selection Based on Weighted Grey Relational Model in Ubiquitous Computing Environments
Full Text (PDF, 992KB), PP.38-45
Views: 0 Downloads: 0
Author(s)
Xiaocong Xiao
1,*
Yijiang Zhao
1
Kaiyao Fu
1
Xiangqun Wang
1
Index Terms
Analytic Hierarchy Process, Grey Theory, Grey Relational Analysis, Web Service, Quality of Service
Abstract
Selecting high quality web services based upon QoS(Quality of Service) is a significant task in service-oriented computing environments. In this paper, according a real Quality of Web Service data sets:QWS Dataset (1.0), we developed a Weighted Grey Relational Analysis Model(WGRAM) for web service selection based on QoS, and combined with Analytic Hierarchy Process(AHP) and Grey Relational Analysis (GRA) to prioritize the relative importance of the QoS of web services. The comprehensive evaluation model (WGRAM) fully considered the influence of many factors given by experts, incorporating the qualitative analysis of the index of various factors and the quantization for scientific decision-making, it can provide weighted grey relational degree for each Web Services with the same functions(operations), and the grey relational sequence which can guide the optimal service selection from multiple functions similar service. The model possessed the characteristic of simple calculating process, and the result was reliable, It’s a reliable and effective method of web service quality factor assessment and a significant attempt for web services selection.
Cite This Paper
Xiaocong Xiao,Yijiang Zhao,Kaiyao Fu,Xiangqun Wang,"A Novel Method of Web Services Selection Based on Weighted Grey Relational Model in Ubiquitous Computing Environments", IJWMT, vol.2, no.4, pp.38-45, 2012. DOI: 10.5815/ijwmt.2012. 04.06
Reference
[1]Luciano Baresi, Chi-Hung Chi, Jun Suzuki. “Service-Oriented Computing,” 7th International Joint Conference, ICSOC-Service Wave,11:34-39,285-300,2009.
[2]Papazoglou M P, Traverso P, Dustdar S, et al. “Service-oriented computing: State of the art and research challenges,” Computer, 3: 38−45, 2007.
[3]Gu Ning,Liu Jiamao,Chai Xiaolu, etc. “Web Services principles and practice,” Beijing:China,Machine Press,1-10, 2006(in Chinese).
[4]Publicly available web services. http: //www.xmethods.com/ve2/Directory.po
[5]Universal description discovery and integration[EB/OL].[OASIS200302]http://www.oasis-open.org/specs/index.php#uddiv3.0.2
[6]RAN S. “A model for Web services discovery with QoS,” Proc of ACM SIGecom Exchanges.New York:ACM Press:1210,2003.
[7]T. Wu and G.S. Kuo, “An Analytical Model for Service Discovery Architectures in Next-Generation Networks,” Proc. of 2006 IEEE Global Communications Conference, in San Francisco California, USA, on November 27 – December 1, 2006.
[8]Hunaity M A,Sheikh A E,Dudin B,etal. “A new Web service discovery model based on QoS,” Third International Conference on Information and Communication Technologies.Karachi:IEEE:1-2,2008.
[9]Thomas L. Saaty, “Multicriteria Decision Making: The Analytic Hierarchy Process, ” RWS Publications, Pittsburgh, PA, 1990.
[10]Deng, J. L.(1982). “Control problems of grey system,” Systems & Control Letters[J],(5),288–294.
[11]Deng Ju long (1990). “Theory of Grey System,” Wuhan: Huazhong University of Science and Technology Press(in Chinese).
[12]http://www.uoguelph.ca/~qmahmoud/qws/index.html
[13]Al-Masri, E., and Mahmoud, Q. H., "Discovering the best web service," (poster) 16th International Conference on World Wide Web (WWW), pp. 1257-1258. (for QWS Dataset Version 1.0 or QWS Dataset Version 2.0) , 2007
[14]Al-Masri, E., and Mahmoud, Q. H., "QoS-based Discovery and Ranking of Web Services", IEEE 16th International Conference on Computer Communications and Networks (ICCCN), pp. 529-534. (for QWS Dataset Version 1.0 or QWS Dataset Version 2.0) , 2007.