loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Seventh IEEE International Conference on E-Commerce Technology Workshops
Service Allocation for Composite Web Services Based on Quality Attributes
Munich, Germany
July 19-July 19
ISBN: 0-7695-2384-6
ASCII Text
x 
 
Shahram Esmaeilsabzali, Kate Larson, "Service Allocation for Composite Web Services Based on Quality Attributes," E-Commerce Technology Workshops, Seventh IEEE International Conference on, pp. 71-82, Seventh IEEE International Conference on E-Commerce Technology Workshops, 2005.
 
 
BibTex
x
 
@article{ 10.1109/CECW.2005.19,
author = {Shahram Esmaeilsabzali and Kate Larson},
title = {Service Allocation for Composite Web Services Based on Quality Attributes},
journal ={E-Commerce Technology Workshops, Seventh IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2384-6},
pages = {71-82},
doi = {http://doi.ieeecomputersociety.org/10.1109/CECW.2005.19},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - E-Commerce Technology Workshops, Seventh IEEE International Conference on
TI - Service Allocation for Composite Web Services Based on Quality Attributes
SN - 0-7695-2384-6
SP71
EP82
A1 - Shahram Esmaeilsabzali,
A1 - Kate Larson,
PY - 2005
KW - null
VL - 0
JA - E-Commerce Technology Workshops, Seventh IEEE International Conference on
ER -
 
Shahram Esmaeilsabzali, School of Computer Science, University of Waterloo Waterloo, Ontario, Canada
Kate Larson, School of Computer Science, University of Waterloo Waterloo, Ontario, Canada

Web services are software artifacts that can be accessed over the Internet. They can be seen as pay-per-view functionalities that are exposed by some service providers. If there are multiple providers for a Web service, then both the quality and price of the service become key factors when determining which provider to choose. We consider the problem of service allocation for multiple correlated Web services that can be serviced by potentially different Web service providers. We model this problem in a game-theoretic setting and design a reverse auction where optimal service allocation for the service requester is guaranteed. We also present an optimal strategy for the service provider when choosing its quality of service.

Citation:
Shahram Esmaeilsabzali, Kate Larson, "Service Allocation for Composite Web Services Based on Quality Attributes," cecw, pp.71-82, Seventh IEEE International Conference on E-Commerce Technology Workshops, 2005
Usage of this product signifies your acceptance of the Terms of Use.