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Big Data and Information Analytics (BDIA)
 

ACO-based solution for computation offloading in mobile cloud computing

Pages: 1 - 13, Volume 1, Issue 1, January 2016      doi:10.3934/bdia.2016.1.1

 
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Weidong Bao - College of Information System and Management, National University of Defense Technology, Changsha 410073, Hunan, China (email)
Haoran Ji - College of Information System and Management, National University of Defense Technology, Changsha, Hunan, 410073, China (email)
Xiaomin Zhu - College of Information System and Management, National University of Defense Technology, Changsha, Hunan, 410073, China (email)
Ji Wang - College of Information System and Management, National University of Defense Technology, Changsha, Hunan, 410073, China (email)
Wenhua Xiao - College of Information System and Management, National University of Defense Technology, Changsha, Hunan, 410073, China (email)
Jianhong Wu - College of Information System and Management, National University of Defense Technology, Changsha, Hunan, 410073, China (email)

Abstract: The cloud computing has attracted growing attentions for its benefits to providing on-demand services, mobile cloud computing (MCC) enables an increasing number of applications and computational services available on mobile devices. In MCC, computation offloading is one of the most important challenges to provide remote execution of applications to the mobile devices. Here we mainly introduce the ant colony optimization (ACO) to address this challeng and propose an ACO-based solution to the computation offloading problem. The proposed method can be well implemented in practice and presents with low computing complexity.

Keywords:  Mobile cloud computing, service offloading, ant colony optimization, multi-clouds, remote execution.
Mathematics Subject Classification:  Primary: 90C; Secondary: 90B18.

Received: July 2015;      Revised: August 2015;      Available Online: September 2015.

 References