Title :
Reputation-Based Web Service Selection for Composition
Author :
Bansal, Srividya K. ; Bansal, Ajay
Author_Institution :
Dept. of Eng., Arizona State Univ., Mesa, AZ, USA
Abstract :
The success and acceptance of Web service composition depends on computing solutions comprised of trustworthy services. In this paper, we extend our Web service Composition framework to include selection and ranking of services based on their reputation score. With the increasing popularity of Web-based Social Networks like Linked in, Facebook, and Twitter, there is great potential in determining the reputation score of a particular service provider using Social Network Analysis. We present a technique to calculate a reputation score per service using centrality measure of Social Networks. We use this score to produce composition solutions that consist of services provided by trust-worthy and reputed providers.
Keywords :
Web services; social networking (online); Facebook; Twitter; reputation based web service selection; social network analysis; trustworthy services; web based social networks; web service composition; Atmospheric measurements; Buildings; Indexes; Organizations; Particle measurements; Social network services; Web services; reputation; service composition; social networks;
Conference_Titel :
Services (SERVICES), 2011 IEEE World Congress on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-0879-4
Electronic_ISBN :
978-0-7695-4461-8
DOI :
10.1109/SERVICES.2011.96