High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

A New Approach for Web Services Composition

Author(s):

Patel Ujas Shaileshkumar , SANKALCHAND PATEL COLLEGE OF ENGINEERING, VISNAGAR; Govind Patel, SANKALCHAND PATEL COLLEGE OF ENGINEERING, VISNAGAR

Keywords:

Cascaded multilevel inverter, developed H-bridge, multilevel inverter, voltage source inverter

Abstract

Semantic web services composition is about finding services from a repository that are able to accomplish a specified task if executed. The task is defined in a form of composition request which contains a set of available input parameters and a set of wanted output parameters. Instead of parameter values, concepts from an ontology describing their semantics are passed to the composition engine. The composer then finds a sequence of services, called a composition. Here three different approaches to semantic web services composition are formally defined and compared with each other: an uninformed search in form of an IDDFS algorithm, a greedy informed search based on heuristic functions, and a multi-objective genetic algorithm. Due to the increasing number of available web services, the search space for finding semantically equivalent services for best service composition is growing exponentially. Here a combination of multi-objective genetic algorithm and greedy informed search based on heuristic functions is proposed for service composition. The greedy algorithm is utilized to generate valid and locally optimized individuals to populate the initial generation for genetic programming (GP), and to perform mutation operations during GP. Here in this context, this work present web service composition which also consider Quality of Service (QoS) parameters. This new proposed hybrid approach can be applied with good performance to the QoS aware service composition problem to find optimal solution for larger service repositories of all sizes and also strongly supporting the knowledge-base.

Other Details

Paper ID: IJSRDV3I1199
Published in: Volume : 3, Issue : 1
Publication Date: 01/04/2015
Page(s): 286-291

Article Preview

Download Article