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2011 10th International Symposium on Parallel and Distributed Computing

IEEE Xplore (IEEE/IET Electronic Library - IEL) Available online

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Format:
Book
Author/Creator:
Institute of Electrical and Electronics Engineers, author, issuing body.
Contributor:
IEEE Staff, Contributor.
Language:
English
Subjects (All):
Parallel processing (Electronic computers).
Physical Description:
1 online resource (xvi, 293 pages)
Place of Publication:
[Place of publication not identified] IEEE 2011
Language Note:
English
Summary:
There is increased demand to run applications on mobile devices in recent years. Although many of these alluring applications are resource-intensive, they expect to get the same performance on mobile devices as on powerful non-mobile computers. On the other hand, considerations such as weight, size, and mobility impose constraints on mobile devices and restrict their processor speed, memory size and battery lifetime. Cyber foraging ameliorates this performance disparity by utilizing nearby non-mobile computers called surrogates to run the whole or parts of applications, which are offloaded from mobile devices. However, cyber foraging is not suitable for all circumstances. In this paper, we propose a mechanism to determine the best location, either a mobile device or best surrogate(s) around, to run an application by calculating the cost of offloading the task of running the application to each location according to the context's metrics such as specifications of mobile device, surrogates, network, and application. Experimental results show that our proposed mechanism almost always selects the best one between local execution of the application on the mobile device and task offloading to surrogate(s) according to the current input size of the application, with respect to latency and energy consumption.
Notes:
Bibliographic Level Mode of Issuance: Monograph

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