9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Making Offloading Decisions Resistant to Network Unavailability for Mobile Cloud Collaboration

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2013.254106,
        author={Huijun Wu and Dijiang Huang and Samia Bouzefrane},
        title={Making Offloading Decisions Resistant to Network Unavailability for Mobile Cloud Collaboration},
        proceedings={9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={ICST},
        proceedings_a={COLLABORATECOM},
        year={2013},
        month={11},
        keywords={mobile cloud computing offloading reliability},
        doi={10.4108/icst.collaboratecom.2013.254106}
    }
    
  • Huijun Wu
    Dijiang Huang
    Samia Bouzefrane
    Year: 2013
    Making Offloading Decisions Resistant to Network Unavailability for Mobile Cloud Collaboration
    COLLABORATECOM
    IEEE
    DOI: 10.4108/icst.collaboratecom.2013.254106
Huijun Wu1, Dijiang Huang1,*, Samia Bouzefrane2
  • 1: Arizona State University
  • 2: Conservatoire Nationa Des Arts et Metiers
*Contact email: dijiang@asu.edu

Abstract

Offloading is one major type of collaborations between mobile devices and clouds to achieve less execution time and less energy consumption. Offloading decisions for mobile cloud collaboration involve many decision factors. One of important decision factors is the network unavailability that has not been well studied. This paper presents an offloading decision model that takes network unavailability into consideration. Network with some unavailability can be modeled as an alternating renewal process. Then, application execution time and energy consumption in both ideal network and network with some unavailability are analyzed. Based on the presented theoretical model, an application partition algorithm and a decision module are presented to produce an offloading decision that is resistant to network unavailability. Simulation results demonstrate good performance of proposed scheme, where the proposed partition algorithm is analyzed in different application and cloud scenarios.