Energy-Efficient Cloudlet Management for Privacy Preservation in Wireless Metropolitan Area Networks

Xiaolong Xu,Jie Zhang,Ruihan Dou,Tao Huang,Rui Huang,Wenbin Yu,Yuancheng Li

doi:10.1155/2018/8180451

Abstract

Currently, cloudlet based wireless metropolitan area network (WMAN) is emerging as an effective paradigm to extend the performance of mobile devices, which enables the execution of computational intensive mobile applications. But the normal operation of cloudlets consumes a large amount of energy, which brings about carbon dioxide emissions, aggravation of the greenhouse effect, etc. Meanwhile the data transmission of various mobile users among cloudlets would cause leakage of personal privacy. In view of this challenge, we propose an energy-efficient cloudlet management method, named ECM, for privacy preservation in WMAN. Technically, an optimization model is designed to formalize our problem. Then, based on live virtual machine (VM) migration technique, a corresponding privacy-aware VM scheduling method for energy saving is designed to determine which VMs should be migrated and where they should be migrated. Finally, experimental data demonstrate that the proposed method is both efficient and effective.

Highlights

In recent years, wireless metropolitan area network (WMAN) is emerging as a public network, which covers the metropolis and provides abundant services for human beings in urban cities [1]
When the cloudlets deployed in WMAN are placed incorrectly or many mobile users concurrently access the cloudlet resources in a region, high communication delay which affects the experience of mobile users would be generated in WMAN [9, 10]
We proposed an energy-efficient cloudlet management for privacy preservation in WMAN abbreviated as ECM taking advantage of the live virtual machine (VM) migration techniques

Summary

Introduction

Wireless metropolitan area network (WMAN) is emerging as a public network, which covers the metropolis and provides abundant services for human beings in urban cities [1]. Mobile devices in WMAN ubiquitously access rich resources from remote data centers via access points (APs). With the popularity and development of mobile devices, the demands of mobile users for wireless broadband are constantly increasing. WMAN is useful and powerful to satisfy such increasing resource requirements [2, 3]. As the service requirements of mobile users increase, mobile applications, such as interactive gaming, virtual reality, and natural language processing, are becoming more computation-intensive. The computing capacity of mobile devices remains limited, due to the service experience of the mobile devices about weight, size, and battery life [4]

Objectives

Methods

Conclusion