Research Article
An Energy Consumption Oriented Offloading Algorithm for Fog Computing
@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
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.
