QoS-Based Dynamic Web Service Composition with Ant Colony Optimization

Authors:
Wei Zhang;Carl K. Chang;Taiming Feng;Hsin-yi Jiang
Affiliations:
-;-;-;-
Venue:
COMPSAC '10 Proceedings of the 2010 IEEE 34th Annual Computer Software and Applications Conference
Year:
2010

Citing 0
Cited 5

Bio-inspired methods for selecting the optimal web service composition: Bees or cuckoos intelligence?

International Journal of Business Intelligence and Data Mining
Optimization techniques for qos-aware workflow realization in web services context

RED'10 Proceedings of the Third international conference on Resource Discovery
A QoS-aware composition method supporting cross-platform service invocation in cloud environment

Journal of Computer and System Sciences
Optimising the semantic web service composition process using bio-inspired methods

International Journal of Bio-Inspired Computation
A comparative analysis of algorithms for dynamic web services composition with quality of service

Proceedings of the 19th Brazilian symposium on Multimedia and the web

Quantified Score

Hi-index	0.00

Visualization

Abstract

Service-oriented architecture (SOA) provides a scalable and flexible framework for service composition. Service composition algorithms play an important role in selecting services from different providers to reach desirable QoS levels according to the performance requirements of composite services, and improve customer satisfaction. This paper proposes a novel QoS-based dynamic service composition technique for web services with Ant Colony Optimization (ACO) in an optimization approach. The novelty of this work lies with our multi-objective optimal-path selection modeling for QoS-based dynamic web service composition and a new version of ACO algorithm that is proposed to solve this multi-objective optimization problem. The experiments show that the new version of ACO algorithm is very efficient in solving such a problem.