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.
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Notes
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All the \(\log (\cdot )\) functions are of base 2 by default.
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Acknowledgement
This work was supported in part by National Natural Science Foundation of China (61372070), Natural Science Basic Research Plan in Shaanxi Province of China (2015JM6324), Ningbo Natural Science Foundation (2015A610117), National Science and Technology Major Project of the Ministry of Science and Technology of China (2015zx03002006-003), and the 111 Project (B08038).
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhao, X., Zhao, L., Liang, K. (2017). An Energy Consumption Oriented Offloading Algorithm for Fog Computing. In: Lee, JH., Pack, S. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-319-60717-7_29
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DOI: https://doi.org/10.1007/978-3-319-60717-7_29
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