Per-flow optimal service selection for Web services based processes
Journal of Systems and Software
QSSA: A QoS-aware Service Selection Approach
International Journal of Web and Grid Services
A performance comparison of QoS-driven service selection approaches
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Capacity and load-aware service discovery with service selection in peer-to-peer grids
Future Generation Computer Systems
SOA Performance Enhancement Through XML Fragment Caching
Information Systems Research
Composite Service Recommendation Based on Bayes Theorem
International Journal of Web Services Research
Adaptive model learning for continual verification of non-functional properties
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Hi-index | 0.00 |
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.