Performance and Cost Aware Application Placement in Cloud

Abstract

With the development of Internet technology, cloud computing has been widely applied to various industries as a new service delivery model in recent years. The cloud service providers must provide services for many customs at the same time. So a large number of different applications must be deployed and the application deployment problem becomes more and more important. How to deploy the application according to their different performance requirements has an important effect on improving the quality of service, enhancing user experience and reducing the service cost. However, for service providers, improving service quality and reducing service cost are contradictory. In this paper, the application deployment problem is modeled as the application deployment graph. Then by using the Pareto optimal thought, a multi-objective optimization algorithm is proposed. It makes that the service providers use less cost to provide the better service quality for users.