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