DocumentCode
5592
Title
A Framework for Cooperative Resource Management in Mobile Cloud Computing
Author
Kaewpuang, Rakpong ; Niyato, Dusit ; Ping Wang ; Hossain, Ekram
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume
31
Issue
12
fYear
2013
fDate
Dec-13
Firstpage
2685
Lastpage
2700
Abstract
Mobile cloud computing is an emerging technology to improve the quality of mobile services. In this paper, we consider the resource (i.e., radio and computing resources) sharing problem to support mobile applications in a mobile cloud computing environment. In such an environment, mobile cloud service providers can cooperate (i.e., form a coalition) to create a resource pool to share their own resources with each other. As a result, the resources can be better utilized and the revenue of the mobile cloud service providers can be increased. To maximize the benefit of the mobile cloud service providers, we propose a framework for resource allocation to the mobile applications, and revenue management and cooperation formation among service providers. For resource allocation to the mobile applications, we formulate and solve optimization models to obtain the optimal number of application instances that can be supported to maximize the revenue of the service providers while meeting the resource requirements of the mobile applications. For sharing the revenue generated from the resource pool (i.e., revenue management) among the cooperative mobile cloud service providers in a coalition, we apply the concepts of core and Shapley value from cooperative game theory as a solution. Based on the revenue shares, the mobile cloud service providers can decide whether to cooperate and share the resources in the resource pool or not. Also, the provider can optimize the decision on the amount of resources to contribute to the resource pool.
Keywords
cloud computing; cooperative communication; game theory; mobile computing; resource allocation; Shapley value; cooperation formation; cooperative game theory; cooperative resource management; mobile applications; mobile cloud computing; mobile cloud service providers; mobile services; optimization models; resource allocation; resource pool; resource requirements; resource sharing problem; revenue management; Base stations; Cloud computing; Computational modeling; Mobile communication; Resource management; Servers; Mobile cloud computing; Nash equilibrium; Shapley value; cooperation formation; robust optimization; stochastic programming;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2013.131209
Filename
6678114
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