QSSA: A QoS-aware Service Selection Approach
by Qibo Sun, Shangguang Wang, Hua Zou, Fangchun Yang
International Journal of Web and Grid Services (IJWGS), Vol. 7, No. 2, 2011

Abstract: With the increasing number of web services, most existing studies suffer from a concentrated workload which causes response time delaying to user's requests. This work proposes a QoS-aware Service Selection Approach (QSSA) with particle swarm optimisation and fuzzy logic control to support fast and dynamic service selection and assist users in selecting the most suitable services. The core of QSSA is decomposing global QoS constrains to local constraints and then selecting a local optimisation with local selection. Experimental results demonstrate that QSSA can obtain the most suitable composite service with low cost.

Online publication date: Fri, 17-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web and Grid Services (IJWGS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com