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Dynamic Mobile Cloud Computing: Ad Hoc and Opportunistic Job Sharing

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3 Author(s)
Fernando, N. ; Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC, Australia ; Loke, S.W. ; Rahayu, W.

Despite increasing usage of mobile computing, exploiting its full potential is difficult due to problems such as resource sparseness. In this paper, we explore the feasibility of a mobile cloud computing framework to use local resources to solve these problems. The framework aims to determine a priori the usefulness of sharing workload at runtime. The results of experiments conducted in Bluetooth transmission and an initial prototype are also presented. Furthermore, we discuss a preliminary analytical model to determine whether or not a speedup will be possible in offloading.

Published in:

Utility and Cloud Computing (UCC), 2011 Fourth IEEE International Conference on

Date of Conference:

5-8 Dec. 2011