Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7–8, 2016, Proceedings

Research Article

An Energy Consumption Oriented Offloading Algorithm for Fog Computing

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  • @INPROCEEDINGS{10.1007/978-3-319-60717-7_29,
        author={Xiaohui Zhao and Liqiang Zhao and Kai Liang},
        title={An Energy Consumption Oriented Offloading Algorithm for Fog Computing},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7--8, 2016, Proceedings},
        proceedings_a={QSHINE},
        year={2017},
        month={8},
        keywords={Offloading Cloud computing Fog computing Energy consumption},
        doi={10.1007/978-3-319-60717-7_29}
    }
    
  • Xiaohui Zhao
    Liqiang Zhao
    Kai Liang
    Year: 2017
    An Energy Consumption Oriented Offloading Algorithm for Fog Computing
    QSHINE
    Springer
    DOI: 10.1007/978-3-319-60717-7_29
Xiaohui Zhao1,*, Liqiang Zhao1, Kai Liang1
  • 1: Xidian University
*Contact email: xxhzhao@hotmail.com

Abstract

Fog computing is a promising method for computation offloading by bringing the computation at arms reach, which is characterized by low latency and significant for the delay-sensitive applications. Offloading is effectively to extend the lifetime of battery of mobile device by executing some applications remotely. In this paper, we provide an energy consumption oriented offloading algorithm to save mobile devices energy while satisfying given application response time requirement. We formulate the offloading algorithm as minimizing energy consumption with the constraints of time tolerance and the maximum transmission power. It dynamically selects cloud computing or fog computing to offload computing instead of only relying on cloud computing. The numerical results show that our offloading algorithm can reduce the energy consumption obviously.