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Neural Computing and Applications

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05.02.2016 | Original Article

Evolutionary study on mobile cloud computing

verfasst von: Mingjun Dai, Dujuan Liu, Yongjun Fan, Hui Wang, Xiaohui Lin, Bin Chen, Zexin Lu

Erschienen in: Neural Computing and Applications | Ausgabe 9/2017

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Abstract

For increasing usage of mobile cloud computing, computation offloading helps cleverly utilize the environmental resource. In this work, the computation offloading decision to remote cloud is made in a distributed manner, which falls within the framework of evolutionary game theory. This framework has the advantage of less strict requirement, e.g., without decision makers’ idealized rationality. To find the optimal trade-off point among power consumption and communication latency, a joint optimization problem is formulated. Besides, targeted at solving this problem, a distributed algorithm, which is easy to implement, is proposed. Numerical studies show our proposed scheme indeed functions well in the meaning that the players will eventually turn to equilibrium.

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Titel: Evolutionary study on mobile cloud computing
verfasst von: Mingjun Dai
Dujuan Liu
Yongjun Fan
Hui Wang
Xiaohui Lin
Bin Chen
Zexin Lu
Publikationsdatum: 05.02.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 9/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2217-8

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