Publication Type
Journal Article
Version
publishedVersion
Publication Date
4-2009
Abstract
Making software systems service-oriented is becoming the practice, and an increasingly large number of service systems play important roles in today's business and industry. Currently, not enough attention has been paid to the issue of optimization of service systems. In this paper, we argue that the key elements to be considered in optimizing service systems are robustness, system orientation, and being dynamic and transparent. We present our solution to optimizing service systems based on application-level QoS management. Our solution incorporates three capabilities, i.e., 1) the ability to cater to the varying rigidities on Web service QoS in distinct application domains and of various users in a robust and heuristic manner, 2) the ability to formulate the overall system utility of a service system perceived by a particular system end user and to suggest its maximization using a utility model incorporated into a three-dimensional weighting scheme, and 3) the ability to dynamically achieve a higher perceived system utility of a service system via transparent negotiations. The calculation of the system utility encompasses a negotiation algorithm and a robust search algorithm for selecting heuristically best Web services. The effectiveness of the proposed algorithms and our solution is demonstrated by simulation experiments and our demo deployment, SSO.
Keywords
Optimization of services systems, quality of services, service selection, composite services, system utility, negotiation, robust.
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Publication
IEEE Transactions on Services Computing
Volume
2
Issue
2
First Page
108
Last Page
121
ISSN
1939-1374
Identifier
10.1109/TSC.2009.13
Publisher
IEEE
Citation
LIANG, Qianhui; WU, Xindong; and LAU, Hoong Chuin.
Optimizing service systems based on application-level QoS. (2009). IEEE Transactions on Services Computing. 2, (2), 108-121.
Available at: https://ink.library.smu.edu.sg/sis_research/774
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1109/TSC.2009.13
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons