Multi Objective Service Selection Using Web Service Composition

Authors

  • R Sudha

Keywords:

Web Service Composition, Multi Objective Service

Abstract

The Web is a distributed, dynamic, and large information repository. However, a major drawback in this is that the Web contains much human consumable contents. The flaws that can be incurred are the user is ineffectual to incur his archetype data. To achieve an effective utilization of the multiple websites simultaneously, we go for Web services. Though, there are multiple web services available, the user is still inferior to his required data using a methodology called web service composition that facilitates users in accessing their desired services to retrieve their much required information to his need using queries. Genetic algorithms is used to adaptive heuristic search algorithms premised on the evolutionary ideas of natural selection used in solving various computational problems that demands optimization and adaptation to changing environments. Here, we provide access to multiple websites through web services where we can furnish all the required data.

References

. LirongQiu · Liang Chang · Fen Lin · ZhongzhiShi(2007) Context Optimization Of Ai Planning For Semantic Web Services Composition. Springer-Verlag London Limited .

. Qi Yu · ManjeetRege · AthmanBouguettaya ,BrahimMedjahed · MouradOuzzani(2010) A two-phase framework for quality-awareWeb service selectionDOI 10.1007/s11761-010-0055-6 Springer-Verlag London Limited.

. McIlraith S, Son T, Zeng H (2007) Semantic web services. IEEE IntellSyst 16(2):46–53

. Liang-Zhao Z, Benatallah B, Ngu AH, Dumas M, Kalagnanam J, Chang H (2006) Qos-aware middleware for web services composition. IEEE Trans SoftwEng 30(5):311–327.

. Aurrecoechea C, Campbell AT, Hauw L (1998) A Survey of QoSArchitectures. ACM/Springer VerlagMultimedSyst J 6(3):138-151.

. Bosc P, Pivert O (1995) SQLf: a relational database language forfuzzy querying. IEEE Trans Fuzzy Syst 3(1):1–17.

. CanforaG, DiPentaM, EspositoR, VillaniML(2005) Anapproach for qos-aware service composition based on genetic algorithms. In:GECCO ’05: Proceedings of the 2005 conference on Genetic and evolutionary computation. ACM, New York, pp 1069–1075.

. Cardoso J (2002) Quality of service and semantic composition of workflows. Ph.D Thesis, University of Georgia, Athens8.ContiM, Kumar M, Das SK, Shirazi BA (2002) Quality of service issues in internet Web services. IEEE Trans Comput 51(6):593–.594

Downloads

Published

2014-12-06

How to Cite

[1]
R. Sudha, “Multi Objective Service Selection Using Web Service Composition”, Int. J. Comp. Sci. Eng., vol. 2, no. 11, pp. 65–68, Dec. 2014.

Issue

Section

Research Article