Mobile Networks and Management. 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings

Research Article

A Cloud Service Enhanced Method Supporting Context-Aware Applications

Download70 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-90775-8_22,
        author={Zifan Liu and Qing Cai and Song Wang and Xiaolong Xu and Wanchun Dou and Shui Yu},
        title={A Cloud Service Enhanced Method Supporting Context-Aware Applications},
        proceedings={Mobile Networks and Management. 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings},
        proceedings_a={MONAMI},
        year={2018},
        month={5},
        keywords={Cloud service Context-aware applications Mobile cloud computing Cloudlet Cost savings},
        doi={10.1007/978-3-319-90775-8_22}
    }
    
  • Zifan Liu
    Qing Cai
    Song Wang
    Xiaolong Xu
    Wanchun Dou
    Shui Yu
    Year: 2018
    A Cloud Service Enhanced Method Supporting Context-Aware Applications
    MONAMI
    Springer
    DOI: 10.1007/978-3-319-90775-8_22
Zifan Liu1,*, Qing Cai2,*, Song Wang3,*, Xiaolong Xu2,*, Wanchun Dou1,*, Shui Yu4,*
  • 1: Nanjing University
  • 2: Nanjing University of Information Science and Technology
  • 3: State Grid Anhui Electric Power Company
  • 4: Deakin University
*Contact email: nju.liuzf@gmail.com, 1392134662@qq.com, wsong09@163.com, njuxlxu@gmail.com, douwc@nju.edu.cn, shui.yu@deakin.edu.au

Abstract

Mobile cloud computing is emerging as a powerful platform for running demanding applications migrated from mobile devices to a remote cloud. For some real-time or urgent deadline-constrained applications, the migration process generates intolerable transmission latency. Cloudlets co-located with Access Points (APs) are considered as an efficient way to reduce such transmission latency. However, it is still a challenge to manage the cloudlets that have been deployed for fixed context-aware applications to achieve cost savings. In view of this challenge, a cloud service enhanced method supporting context-aware applications is proposed in this paper. Specifically, a cloudlet management principle is designed to provide a reference for cloudlet status judgment. Then a relevant cloud service enhanced method is proposed to decide which active cloudlets should be shut down. Finally, the experimental and analytical results demonstrate the validity of our proposed method.