QoS-Aware Cloudlet Load Balancing in Wireless Metropolitan Area Networks

Authors:
Publisher website
Google Scholar
Abstract
With advances in wireless communication technology, more and more people depend heavily on portable mobile devices for businesses, entertainments and social interactions. This poses a great challenge of building a seamless application experience across different computing platforms. A key issue is the resource limitations of mobile devices due to their portable size, however this can be overcome by remotely executing computation-intensive tasks on clusters of near by computers called cloudlets. As increasing numbers of people access the Internet via mobile devices, it is reasonable to envision in the near future that cloudlet services will be available for the public through easily accessible public wireless metropolitan area networks. In this paper we investigate how to balance the workload among multiple cloudlets in such a network to optimize mobile application performance. We introduce a novel system model to capture the response time delays of offloaded tasks and formulate an optimization problem with the aim to minimize the maximum response time among offloaded tasks. We then propose two algorithms for the problem. We finally evaluate the performance of the proposed algorithms in realistic simulation environments. The experimental results demonstrate the significant potential of the proposed algorithms in reducing response time, maximizing user experience.

This publication has 24 references indexed in Scilit: