Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Modelling quality of service in service oriented computing

Deora, Vikas, Shao, Jianhua, Gray, William Alexander and Fiddian, Nicholas John 2006. Modelling quality of service in service oriented computing. Presented at: Second IEEE International Symposium on Service-Oriented System Engineering, Shanghai, China, 25-26 October 2006. Published in: Chi, Chi-Hung, Bastani, Farokh and Xue, Xiangyang eds. Second IEEE International Symposium on Service-Oriented System Engineering : SOSE 2006 : proceedings. Los Alamitos, CA: IEEE Computer Society, pp. 95-101. 10.1109/SOSE.2006.22

Full text not available from this repository.

Abstract

The ability to gauge quality of service is critical if we are to realise the potential of the service-oriented computing paradigm. Many techniques have been proposed for calculating the quality of a service, and they do so typically by collecting quality ratings from the users of the service, then combining them in one way or another to derive the quality of the service. We argue that combining quality ratings in such a way may lead to inaccurate quality measures for services. This is because different users often have different expectations on the quality of a service and their ratings tend to be closely related to these expectations, i.e. how their expectations are met. In this paper, we propose a fuzzy based quality of service assessment model based on user expectations. That is, we collect expectations as well as ratings from the users of a service, then calculate the quality of the service based on the ratings that have similar expectations. We give examples to show that our approach can result in a more accurate and meaningful measure for quality of service.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: fuzzy based quality of service assessment model , service oriented computing , user expectations
Publisher: IEEE Computer Society
ISBN: 9780769527260
Related URLs:
Last Modified: 04 Jun 2017 04:49
URI: http://orca.cf.ac.uk/id/eprint/45328

Citation Data

Cited 21 times in Google Scholar. View in Google Scholar

Cited 11 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item