Trade-Off Analysis on QoS-Aware Dynamic Web Services Composition with Evolutionary Optimization
Ching-Seh Mike Wu, Ibrahim Khoury · INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences · 2012
Nowadays web services are a distributed technology that can successfully solve integration problems between heterogeneous systems. The supporting technology for web services has been widely studied mainly focusing on the standardization of service transactions and running a single and multiple web services. In dealing with complex and large-scale web service requests, there is a foreseeable bottleneck of supporting technology. QoS-Aware web service composition is NP-hard problem and one of the most challenging problems in web services. This paper proposes an optimization solution using enhanced evolutionary algorithm (EA) for the dynamic composition of web service components and performs the trade-off analysis on dynamic composition of multi domain with multi objectives. First, we propose the Distance Function Based Evolutionary Algorithm (DFBEA) techniques to automatically select optimal combinations of web service components from available component repositories. Second, using multi domain with multi objectives case study, we demonstrate the trade-off analysis on efficiency and effectiveness of the proposed technique and algorithm through experimental evaluation of component selection, and furthermore a comparison with other optimization techniques will be proposed.