8th International Conference on Communications and Networking in China

Research Article

Virtual Machine Live Migration for Pervasive Services in Cloud-Assisted Vehicular Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694654,
        author={Rong Yu and Yan Zhang and Huimin Wu and Periklis Chatzimisios and Shengli Xie},
        title={Virtual Machine Live Migration for Pervasive Services in Cloud-Assisted Vehicular Networks},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={mobile cloud computing vehicular network vm live migration dirty page transfer resource reservation},
        doi={10.1109/ChinaCom.2013.6694654}
    }
    
  • Rong Yu
    Yan Zhang
    Huimin Wu
    Periklis Chatzimisios
    Shengli Xie
    Year: 2013
    Virtual Machine Live Migration for Pervasive Services in Cloud-Assisted Vehicular Networks
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694654
Rong Yu1,*, Yan Zhang2, Huimin Wu1, Periklis Chatzimisios3, Shengli Xie1
  • 1: Guangdong University of Technology
  • 2: Simula Research Laboratory
  • 3: Alexander Technological Educational Institute of Thessaloniki
*Contact email: yurong@ieee.org

Abstract

The physical resources of vehicles and roadside infrastructures are stringently constrained in vehicular networks. The application of mobile cloud computing technology will significantly improve the utilization of intensive physical resources. In the newly emerged paradigm of cloud-assisted vehicular networks, vehicle mobility poses a significant challenge to the continuity of cloud services. This paper proposes efficient Virtual Machine (VM) live migration mechanisms to deal with the problem. In particular, a selective dirty page transfer strategy is designed to enhance the efficiency of data transfer in VM live migration. Besides, an optimal resource reservation scheme is proposed to ensure sufficient physical resources at a target cloud site such that migration dropping is significantly reduced. Simulations are carried out to demonstrate the efficiency of the two proposed mechanisms.