Abstract

Notice of Violation of IEEE Publication Principles<br><br>"Energy Efficient Mobile Cloud Computing and Its Applications,"<br>by Qiang Fu, Weiwen Zhang and Baihua Wang,<br>in the Proceedings of the 9th IEEE International Conference on Networking, Architecture, and Storage (NAS), August 2014, pp. 226-231<br><br> After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.<br><br>This paper was submitted to the 9th IEEE International Conference on Networking, Architecture, and Storage as well as another publication, cited below, without informing the editors of the concurrent submission. The coauthor, Weiwen Zhang, also was not informed of the submission cited below:<br><br>"Energy Efficient Mobile Cloud Computing and its Applications,"<br>by Qiang Fu, Weiwen Zhang and Baihua Wang,<br>in the Proceedings of the International Conference on Service Sciences, May 2014, pp. 169-174<br><br> <br/> In this paper, we investigate offloading policy for energy efficient mobile cloud computing. To minimize the energy consumption on the mobile device and the cloud, we propose a general optimization framework based on the characteristic of applications. Particularly, for delay-sensitive applications, we formulate a delay-constrained optimization problem, in order to reduce the energy consumption on the mobile device while meeting the time constraint. For delay-tolerant applications, we formulate a stability-constrained optimization problem, in order to reduce the energy consumption in the cloud while satisfying the queue stability. Based on the optimization framework, we present the offloading policy of typical mobile applications that are computation intensive, including video transcoding, object recognition, image retrieval and virus scanning. The proposed offloading policy can reduce the energy consumption on mobile devices and the cloud, which provides guidelines for the design of green mobile cloud.

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