DocumentCode :
266944
Title :
Joint cloud computing and wireless networks operations: A game theoretic approach
Author :
Zhiyuan Yin ; Yu, F. Richard ; Shengrong Bu
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
4977
Lastpage :
4982
Abstract :
In mobile cloud computing systems, cloud computing can have significant impacts on wireless networks. Cloud computing and wireless networks have traditionally been addressed separately in the literature. In this paper, we propose to jointly study dynamic cloud and wireless networks operations so as to improve end-to-end performance in the mobile cloud computing environment. Unlike most existing studies on wireless networks, where only the spectrum efficiency is considered, we consider not only the spectrum efficiency in wireless networks but also the pricing information in the cloud, based on which power allocation and interference management in wireless networks are performed. We formulate the problems of cloud media service price decision, resource allocation and the interference management in the mobile cloud computing environment as a three-level Stackelberg game. A backward induction method is used to analyze the proposed Stackelberg game. Simulation results are presented to show the effectiveness of the proposed scheme.
Keywords :
cloud computing; game theory; mobile computing; radio networks; radiofrequency interference; resource allocation; backward induction method; cloud media service price decision; end-to-end performance improvement; game theoretic approach; interference management; mobile cloud computing system; power allocation; pricing information; resource allocation; spectrum efficiency; three-level Stackelberg game; wireless network operation; Cloud computing; Coordinate measuring machines; Games; Interference; Mobile communication; Scattering; Wireless networks; Mobile cloud; game theory; wireless network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037594
Filename :
7037594
Link To Document :
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