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Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices

http://hdl.handle.net/20.500.12678/0000004772
11d9223d-8b0c-4cbe-abcb-94439ddb75e7
0bd45ede-3f29-49bb-a619-1b472e155f4f
Publication type
Article
Upload type
Publication
Title
Title Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices
Language en
Publication date 2017-02-16
Authors
Tun, Mi Swe Zar
Kyi, Hsu Mon
Htoon, Ei Chaw
Description
Functionality on mobile devices are ever richerin daily life. Mobile devices have limited resourceslike battery life, storage and processor, etc. Offloadingsome computing tasks from mobile devices to thecloud is a way to solve the limitations of battery lifeand computing capability of mobile devices. Applicationoffloading is energy efficient only under variousconditions. This paper proposes an Enhanced ComputationOffloading Algorithm, to extend the life timeof mobile devices, partition the job as a graph andtaking into account the CPU load, state of Charge,wireless network bandwidth, transmission data size.Based on the inputs, the system decide whether tooffload the application to the cloud or not. Offloadingis an effective method for extending the life timeof mobile devices by executing some components ofapplications remotely.(E.g. processing applicationson mobile cloud). Result will demonstrate that thealgorithm can significantly reduce energy consumptionof mobile device as well as execution time ofapplication.
Keywords
Mobile Cloud Computing, computation offloading, Wireless Network Bandwidth, energy
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/662
Journal articles
Fifteenth International Conference on Computer Applications(ICCA 2017)
Conference papers
Books/reports/chapters
Thesis/dissertations
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