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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 658216, 10 pages
http://dx.doi.org/10.1155/2015/658216
Research Article

Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing

1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Haidian, Beijing 100876, China
2School of Computer Science, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Haidian, Beijing 100876, China

Received 16 November 2014; Accepted 2 February 2015

Academic Editor: Bao Rong Chang

Copyright © 2015 Xing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.