A1 Journal article (refereed)
Socially-aware Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices (2018)

Liu, L., Chang, Z., & Guo, X. (2018). Socially-aware Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices. IEEE Internet of Things Journal, 5(3), 2327-4662. https://doi.org/10.1109/JIOT.2018.2816682

JYU authors or editors

Publication details

All authors or editors: Liu, Liqing; Chang, Zheng; Guo, Xijuan

Journal or series: IEEE Internet of Things Journal

ISSN: 2327-4662

eISSN: 2327-4662

Publication year: 2018

Volume: 5

Issue number: 3

Pages range: 2327-4662

Publisher: Institute of Electrical and Electronics Engineers

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/JIOT.2018.2816682

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/60288


Fog computing is considered as a promising technology to meet the ever-increasing computation requests from a wide variety of mobile applications. By offloading the computation-intensive requests to the fog node or the central cloud, the performance of the applications, such as energy consumption and delay, are able to be significantly enhanced. Meanwhile, utilizing the recent advances of social network and energy harvesting (EH) techniques, the system performance could be further improved. In this paper, we take the social relationships of the EH mobile devices (MDs) into the design of computational offloading scheme in fog computing. With the objective to minimize the social group execution cost, we advocate game theoretic approach and propose a dynamic computation offloading scheme designing the offloading process in fog computing system with EH MDs. Different queue models are applied to model the energy cost and delay performance. It can be seen that the proposed problem can be formulated as a generalized Nash equilibrium problem (GNEP) and we can use exponential penalty function method to transform the original GNEP into a classical Nash equilibrium problem and address it with semi-smooth Newton method with Armijo line search. The simulation results demonstrate the effectiveness of the proposed scheme.

Keywords: mobile devices; cloud services; energy harvesting

Free keywords: computation offloading; fog computing; social-aware mobile network; energy consumption; execution cost; Generalized Nash Equilibrium Problem

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Related projects

Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 1

Last updated on 2021-20-09 at 16:00