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http://hdl.handle.net/10397/105714
Title: | Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing | Authors: | Guo, S Xiao, B Yang, Y Yang, Y |
Issue Date: | 2016 | Source: | IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 10-14 April 2016, San Francisco, CA, USA, 7524497 | Abstract: | Mobile cloud computing (MCC) as an emerging and prospective computing paradigm, can significantly enhance computation capability and save energy of smart mobile devices (SMDs) by offloading computation-intensive tasks from resource-constrained SMDs onto the resource-rich cloud. However, how to achieve energy-efficient computation offloading under the hard constraint for application completion time remains a challenge issue. To address such a challenge, in this paper, we provide an energy-efficient dynamic offloading and resource scheduling (eDors) policy to reduce energy consumption and shorten application completion time. We first formulate the eDors problem into the energy-efficiency cost (EEC) minimization problem while satisfying the task-dependency requirements and the completion time deadline constraint. To solve the optimization problem, we then propose a distributed eDors algorithm consisting of three subalgorithms of computation offloading selection, clock frequency control and transmission power allocation. More importantly, we find that the computation offloading selection depends on not only the computing workload of a task, but also the maximum completion time of its immediate predecessors and the clock frequency and transmission power of the mobile device. Finally, our experimental results in a real testbed demonstrate that the eDors algorithm can effectively reduce the EEC by optimally adjusting the CPU clock frequency of SMDs based on the dynamic voltage and frequency scaling (DVFS) technique in local computing, and adapting the transmission power for the wireless channel conditions in cloud computing. | Keywords: | Computation offloading Energy-efficiency cost Mobile cloud computing Resource allocation |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-4673-9953-1 | DOI: | 10.1109/INFOCOM.2016.7524497 | Rights: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication S. Guo, B. Xiao, Y. Yang and Y. Yang, "Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing," IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, San Francisco, CA, USA, 2016, pp. 1-9 is available at https://doi.org/10.1109/INFOCOM.2016.7524497. |
Appears in Collections: | Conference Paper |
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