An energy-efficient scheduling scheme for time-constrained tasks in local mobile clouds |
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| Affiliation: | 1. School of Mechanical and Electrical Engineering, University of Southern Queensland, Toowoomba, Queensland, Australia;2. School of Agricultural, Computational and Environmental Sciences, University of Southern Queensland, Toowoomba, Queensland, Australia;3. Department of Electrical Engineering, Salahaddin University, Hawler, Kurdistan Region, Iraq |
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| Abstract: | Mobile Cloud Computing (MCC) enables mobile devices to use resource providers other than mobile devices themselves to host the execution of mobile applications. Various mobile cloud architectures and scheduling algorithms have been studied recently. However, how to utilize MCC to enable mobile devices to run complex real-time applications while keeping high energy efficiency remains a challenge. In this paper, firstly, we introduce the local mobile clouds formed by nearby mobile devices and give the mathematical models of the mobile devices and their applications. Secondly, we formulate the scheduling problem in local mobile clouds. After describing the resource discovery scheme and the adaptive, probabilistic scheduling algorithm, we finally validate the performance of the proposed algorithm by simulation experiments. |
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| Keywords: | Mobile cloud computing Ad-hoc network Offloading Task scheduling |
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