4.8 Article

Cooperative Resource Management in Cloud-Enabled Vehicular Networks

期刊

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 62, 期 12, 页码 7938-7951

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2015.2481792

关键词

Cloud-enabled vehicular network; coalition game; resource utilization; two-sided matching

资金

  1. National Natural Science Foundation of China [61422201, 61370159, U1201253, U1301255]
  2. Guangdong Province Natural Science Foundation [S2011030002886]
  3. Special-Support Project of Guangdong Province [2014TQ01X100]
  4. High Education Excellent Young Teacher Program of Guangdong Province [YQ2013057]
  5. Science and Technology Program of Guangzhou [2014J2200097]
  6. Research Council of Norway [240079/F20]
  7. European Commission Seventh Framework Programme for Research and Technological Development (FP7) through the Cognitive Radio Oriented Wireless Networks (CROWN) Project [PIRSES-GA-2013-627490]

向作者/读者索取更多资源

Cloud-enabled vehicular networks are a new paradigm to improve the quality of vehicular services, which have drawn considerable attention in industry and academia. In this paper, we consider the resource management and sharing problem for bandwidth and computing resources to support mobile applications in cloud-enabled vehicular networks. In such an environment, cloud service providers (SPs) can cooperate to form coalitions to share their idle resources with each other. We propose a coalition game model based on two-sided matching theory for cooperation among cloud SPs to share their idle resources. As a result, the resources can be better utilized, and the QoS for users can be improved. Numerical results indicate that our scheme can improve resource utilization and increase by 75% the QoS of the applications compared with that without cooperation. Moreover, the higher service cost of cooperation brings negative effect on coalition formation. The higher cooperation willingness of cloud SPs and the lower service cost support more service applications.

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