@article{13322,
  keywords = {game theory, Mobile cloud computing, resource management, cooperation},
  author = {R. Yu and J. Ding and Sabita Maharjan and Stein Gjessing and Yan Zhang and Danny Tsang},
  title = {Decentralized and Optimal Resource Cooperation in Geo-distributed Mobile Cloud Computing},
  abstract = {Mobile cloud computing is a key enabling technology in the era of Internet-of-Things. Geo-distributed mobile cloud computing (GMCC) is a new scenario that adds geography consideration in mobile cloud computing. In GMCC, users are able to access cloud resource that are geographically close to their mobile devices. This is expected to reduce communications delay and service providers\’ cost compared to the traditional centralized approach. In this paper, we focus on resource sharing through cooperation among service providers in geo-distributed mobile cloud computing. Then, we propose two different strategies for efficient resource cooperation in geographically distributed data centers. Further, we present a coalition game theoretical approach to deal with the competition and cooperation among service providers. Utility functions have been specifically considered to incorporate the cost related to virtual machine migration and resource utilization. Illustrative results indicate that our proposed schemes are able to efficiently utilize limited resource with Quality-of-Service (QoS) consideration.},
  year = {2015},
  journal = {IEEE Transactions on Emerging Topics in Computing},
  publisher = {IEEE Transactions on Emerging Topics in Computing},
}