An SMDP-based service model for interdomain resource allocation in mobile cloud networks

Hongbin Liang, Lin X. Cai, Dijiang Huang, Xuemin Shen, Daiyuan Peng

Research output: Contribution to journalArticlepeer-review

116 Scopus citations


Mobile cloud computing is a promising technique that shifts the data and computing service modules from individual devices to a geographically distributed cloud service architecture. A general mobile cloud computing system is comprised of multiple cloud domains, and each domain manages a portion of the cloud system resources, such as the Central Processing Unit, memory and storage, etc. How to efficiently manage the cloud resources across multiple cloud domains is critical for providing continuous mobile cloud services. In this paper, we propose a service decision making system for interdomain service transfer to balance the computation loads among multiple cloud domains. Our system focuses on maximizing the rewards for both the cloud system and the users by minimizing the number of service rejections that degrade the user satisfaction level significantly. To this end, we formulate the service request decision making process as a semi-Markov decision process. The optimal service transfer decisions are obtained by jointly considering the system incomes and expenses. Extensive simulation results show that the proposed decision making system can significantly improve the system rewards and decrease service disruptions compared with the greedy approach.

Original languageEnglish (US)
Article number6184361
Pages (from-to)2222-2232
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Issue number5
StatePublished - 2012


  • Blocking probability
  • mobile cloud computing service domain
  • semi-Markov decision process (SMDP)
  • system rewards

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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