Genetic algorithm for QoS-aware dynamic web services composition

Abstract

Nowadays, the Service-Oriented Architecture (SOA) as well as orchestration technology becomes trend of software development. The benefit of SOA is that we will save cost and time extremely due to the services utilized are already exist and reuse those services as well as integrate them. Currently, the main issues of SOA are how to define workflow as well as how to select the suitable services to perform this workflow with QoS. Many approaches separate workflow defined and services with QoS selected, therefore, will sacrifice the user's feasibility. In this paper, we provide an approach to deal with the dynamic service composition issue based on the genetic algorithm and cases-based reasoning. This approach can support the flexible service workflow according to the user's requirements and compose the workable services to complete this workflow.