Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers

Research Article

Mirroring Smartphones for Good: A Feasibility Study

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  • @INPROCEEDINGS{10.1007/978-3-642-29154-8_3,
        author={Bo Zhao and Zhi Xu and Caixia Chi and Sencun Zhu and Guohong Cao},
        title={Mirroring Smartphones for Good: A Feasibility Study},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2012},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-29154-8_3}
    }
    
  • Bo Zhao
    Zhi Xu
    Caixia Chi
    Sencun Zhu
    Guohong Cao
    Year: 2012
    Mirroring Smartphones for Good: A Feasibility Study
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-642-29154-8_3
Bo Zhao1,*, Zhi Xu1,*, Caixia Chi2,*, Sencun Zhu1,*, Guohong Cao1,*
  • 1: The Pennsylvania State University
  • 2: Alcatel-Lucent Technologies
*Contact email: bzhao@cse.psu.edu, zux103@cse.psu.edu, chic@alcatel-lucent.com, szhu@cse.psu.edu, gcao@cse.psu.edu

Abstract

More and more applications and functionalities have been introduced to smartphones, but smartphones have limited resources on computation and battery. To enhance the capacity of smartphones, an interesting idea is to use Cloud Computing and virtualization techniques to shift the workload from smartphones to a computational infrastructure. In this paper, we propose a new framework which keeps a mirror for each smartphone on a computing infrastructure in the telecom network. With mirror, we can greatly reduce the workload and virtually expand the resources of smartphones. We show the feasibility of deploying such a framework in telecom networks by protocol design, synchronization study and scalability test. To show the benefit, we introduce two applications where both the computational workload on smartphones and network traffic in telecom networks can be significantly reduced by our techniques.