Analyzing service resource usage profiles for optimization of cloud service execution cost

Abstract

As cloud computing industry adoption rate is increasing, service cost management and optimization are becoming one of the most important issues from the perspective of cloud users. This paper is looking into possibility of using information about application type and its resource usage profile in the process of identifying optimized service placement in cloud environments. Such placement should result in minimized service execution cost, while maintaining acceptable quality of service, which is usually defined by Service Level Agreement. We present two application types observed as use cases for a cloud service placement optimization and use them to explain the process of a service resource usage profile creation. We discuss how the resource usage profiles can be used for service execution cost optimization. The initial results of the service resource usage profiles analysis are presented followed by an analysis and discussion on their application in optimization of cloud service execution cost.