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Issue No. 05 - Sept.-Oct. (2017 vol. 10)
ISSN: 1939-1374
pp: 797-810
Bowen Zhou , Cloud Computing and Distributed Systems (CLOUDS) Laboratary, Department of Computing and Information Systems, University of Melbourne, Australia
Amir Vahid Dastjerdi , Cloud Computing and Distributed Systems (CLOUDS) Laboratary, Department of Computing and Information Systems, University of Melbourne, Australia
Rodrigo N. Calheiros , Cloud Computing and Distributed Systems (CLOUDS) Laboratary, Department of Computing and Information Systems, University of Melbourne, Australia
Satish Narayana Srirama , Mobile Cloud Lab, Institute of Computer Science, University of Tartu, Estonia
Rajkumar Buyya , Cloud Computing and Distributed Systems (CLOUDS) Laboratary, Department of Computing and Information Systems, University of Melbourne, Australia
ABSTRACT
Mobile cloud computing (MCC) has become a significant paradigm for bringing the benefits of cloud computing to mobile devices’ proximity. Service availability along with performance enhancement and energy efficiency are primary targets in MCC. This paper proposes a code offloading framework, called mCloud, which consists of mobile devices, nearby cloudlets and public cloud services, to improve the performance and availability of the MCC services. The effect of the mobile device context (e.g., network conditions) on offloading decisions is studied by proposing a context-aware offloading decision algorithm aiming to provide code offloading decisions at runtime on selecting wireless medium and appropriate cloud resources for offloading. We also investigate failure detection and recovery policies for our mCloud system. We explain in details the design and implementation of the mCloud prototype framework. We conduct real experiments on the implemented system to evaluate the performance of the algorithm. Results indicate the system and embedded decision algorithm are able to provide decisions on selecting wireless medium and cloud resources based on different context of the mobile devices, and achieve significant reduction on makespan and energy, with the improved service availability when compared with existing offloading schemes.
INDEX TERMS
Cloud computing, Mobile communication, Mobile handsets, Context, Performance evaluation, Ad hoc networks, Wireless communication
CITATION

B. Zhou, A. V. Dastjerdi, R. N. Calheiros, S. N. Srirama and R. Buyya, "mCloud: A Context-Aware Offloading Framework for Heterogeneous Mobile Cloud," in IEEE Transactions on Services Computing, vol. 10, no. 5, pp. 797-810, 2017.
doi:10.1109/TSC.2015.2511002
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