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Journal of Applied MathematicsVolume 2013 2013, Article ID 409539, 13 pages

Research Article

Nanjing Telecommunication Technology Research Institute, Nanjing 21007, China

College of Command Information Systems, PLA University of Science and Technology, Nanjing 21007, China

Received 19 April 2013; Revised 15 September 2013; Accepted 27 September 2013

Academic Editor: Chih-Hao Lin

Copyright © 2013 Xianglin Wei 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.


Mobile cloud computing MCC enables the mobile devices to offload their applications to the cloud and thus greatly enriches the types of applications on mobile devices and enhances the quality of service of the applications. Under various circumstances, researchers have put forward several MCC architectures. However, how to reduce the response latency while efficiently utilizing the idle service capacities of the mobile devices still remains a challenge. In this paper, we firstly give a definition of MCC and divide the recently proposed architectures into four categories. Secondly, we present a Hybrid Local Mobile Cloud Model HLMCM by extending the Cloudlet architecture. Then, after formulating the application scheduling problems in HLMCM and bringing forward the Hybrid Ant Colony algorithm based Application Scheduling HACAS algorithm, we finally validate the efficiency of the HACAS algorithm by simulation experiments.

Author: Xianglin Wei, Jianhua Fan, Ziyi Lu, and Ke Ding



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