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

Version 2 2024-06-13, 16:48
Version 1 2016-04-04, 12:20
conference contribution
posted on 2024-06-13, 16:48 authored by R Deng, R Lu, C Lai, H Luan
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.

History

Pagination

3909-3914

Location

London, Eng.

Start date

2015-06-08

End date

2015-06-12

ISSN

1550-3607

ISBN-13

9781467364324

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2015, IEEE

Title of proceedings

ICC 2015: Proceedings of the IEEE International Conference on Communications

Event

IEEE International Conference on Communications (2015 : London, Eng.)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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