Optimal Service Selection Based on Business for Cloud Computing

Abstract

When organization select service provider (SP) in cloud computing based on service-oriented architecture (SOA), the optimal management of services is the kernel content of cloud computing from SP perspectives. However, it is difficult to realize the optimization of service selection in an open environment which contains large amounts of randomicity and uncertainty. In this paper, we focus on solving the service selection in SOA automatically, and the metrics are evaluated for SOA which combines the key performance of service from business, services and implementation level, and these metrics are brought forward to analyze the local and global performance. An ant colony optimization algorithm (ACO) based method is developed to realize the optimization of service selection in effective and efficient way.