Optimal Task Offloading Scheme Based on Network Delay and Resource Management in Joint Blockchain and Fog Computing System

Tong LIU; Lun TANG; Xiaoqiang HE; Qianbin CHEN

doi:10.11999/JEIT190654

Volume 42 Issue 9

Sep. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(9): 2180-2185

Tong LIU, Lun TANG, Xiaoqiang HE, Qianbin CHEN. Optimal Task Offloading Scheme Based on Network Delay and Resource Management in Joint Blockchain and Fog Computing System[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2180-2185. doi: 10.11999/JEIT190654

Citation:

Tong LIU, Lun TANG, Xiaoqiang HE, Qianbin CHEN. Optimal Task Offloading Scheme Based on Network Delay and Resource Management in Joint Blockchain and Fog Computing System[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2180-2185. doi: 10.11999/JEIT190654

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Optimal Task Offloading Scheme Based on Network Delay and Resource Management in Joint Blockchain and Fog Computing System

doi: 10.11999/JEIT190654

Tong LIU^{1, 2, 3
,
,},
Lun TANG^{1, 2},
Xiaoqiang HE^{1, 2},
Qianbin CHEN^{1, 2}

1.
Institute of Telecommunication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3.
Department of Big Data and Internet of Things, Chongqing Vocational Institute of Engineering, Chongqing 402260, China

Funds: The National Natural Science Foundation of China (61571073), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M201800601)

Received Date: 2019-08-29
Rev Recd Date: 2019-10-25

Available Online: 2020-03-18

Publish Date: 2020-09-27

Abstract

Abstract

To solve the problem of increasing the digital currency of mobile terminals based on limited residual resources of the system, a task offloading scheme is proposed based on node residual resources and network delay in the joint blockchain and fog computing system. In order to offload the task in an optimal way, the expected revenue of mobile terminals is firstly analyzed based on the amount of tasks. Secondly, based on the remaining computing resources, storage resources, power resources and network delays, the expenditure of mobile terminal is analyzed. Then, a mathematical optimization model is established to maximize the digital currency income of the mobile terminal. The Simulated Annealing (SA) algorithm is employed to deal with the suboptimal model, respectively. Simulation results demonstrate the effectiveness of the proposed scheme.
- Blockchain,
- Fog computing,
- Network delay,
- Resource management

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References(14)

References

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