Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

An Automatic Service Composition using Clustering Techniques


Affiliations
1 Department of Computer Science, Erode Arts and Science College, Erode, Tamilnadu, India
     

   Subscribe/Renew Journal


Today many companies publish their applications on the Internet. Web Services play a vital role in business environment. Many services around the web, when we take a single web service alone had limited functionality. So single service is not sufficient to respond the user’s request and often services should be combined through services composition to achieve a specific goal. A large number of approaches exist to resolve multi-objective optimization problems. In this work PSO-inspired Clustering algorithms are proposed to reduce the processing time and increase the performance of composite services.


Keywords

Composite Services, PSO, Multi-Objective Optimization.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 167

PDF Views: 0




  • An Automatic Service Composition using Clustering Techniques

Abstract Views: 167  |  PDF Views: 0

Authors

K. Meenakshi Sundaram
Department of Computer Science, Erode Arts and Science College, Erode, Tamilnadu, India
T. Parimalam
Department of Computer Science, Erode Arts and Science College, Erode, Tamilnadu, India

Abstract


Today many companies publish their applications on the Internet. Web Services play a vital role in business environment. Many services around the web, when we take a single web service alone had limited functionality. So single service is not sufficient to respond the user’s request and often services should be combined through services composition to achieve a specific goal. A large number of approaches exist to resolve multi-objective optimization problems. In this work PSO-inspired Clustering algorithms are proposed to reduce the processing time and increase the performance of composite services.


Keywords


Composite Services, PSO, Multi-Objective Optimization.