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Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing

Deng, Ruilong, Lu, Rongxing, Lai, Chengzhe and Luan, Tom H. 2015, Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing, in ICC 2015: Proceedings of the IEEE International Conference on Communications, IEEE, Piscataway, N.J., pp. 3909-3914, doi: 10.1109/ICC.2015.7248934.

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Title Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing
Author(s) Deng, Ruilong
Lu, Rongxing
Lai, Chengzhe
Luan, Tom H.
Conference name IEEE International Conference on Communications (2015 : London, Eng.)
Conference location London, Eng.
Conference dates 8-12 Jun. 2015
Title of proceedings ICC 2015: Proceedings of the IEEE International Conference on Communications
Publication date 2015
Start page 3909
End page 3914
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Fog computing, characterized by extending cloud computing to the edge of the network, has recently received considerable attention. The fog is not a substitute but a powerful complement to the cloud. It is worthy of studying the interplay and cooperation between the edge (fog) and the core (cloud). To address this issue, we study the tradeoff between power consumption and delay in a cloud-fog computing system. Specifically, we first mathematically formulate the workload allocation problem. After that, we develop an approximate solution to decompose the primal problem into three subproblems of corresponding subsystems, which can be independently solved. Finally, based on extensive simulations and numerical results, we show that by sacrificing modest computation resources to save communication bandwidth and reduce transmission latency, fog computing can significantly improve the performance of cloud computing.
ISBN 9781467364324
ISSN 1550-3607
Language eng
DOI 10.1109/ICC.2015.7248934
Field of Research 080505 Web Technologies (excl Web Search)
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082544

Document type: Conference Paper
Collection: School of Information Technology
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