刘通^{1, 2, 3,,},
唐伦^{1, 2},
何小强^{1, 2},
陈前斌^{1, 2}
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.重庆邮电大学移动通信技术重点实验室 重庆 400065
3.重庆工程职业技术学院大数据与物联网学院 重庆 402260
基金项目:国家自然科学基金(61571073)，重庆市教委科学技术研究重大项目(KJZD-M201800601)

详细信息

作者简介:刘通：男，1985年生，博士生，高级工程师，研究方向为边缘计算、区块链等
唐伦：男，1973年生，博士，教授，博士生导师，研究方向为新一代无线通信网络、异构蜂窝网络、软件定义无线网络等
何小强：男，1992年生，博士生，研究方向为5G网络切片、边缘计算等
陈前斌：男，1967年生，博士，教授，博士生导师，研究方向为个人通信、多媒体信息处理与传输、下一代移动通信网络等

通讯作者:刘通　liuyyshiwo@163.com

中图分类号:TN929.5

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出版历程

收稿日期:2019-08-29
修回日期:2019-10-25
网络出版日期:2020-03-18
刊出日期:2020-09-27

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

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)


摘要
摘要:针对如何基于有限的系统剩余资源进行任务优化卸载以增加移动终端的数字货币收益问题，该文在融合区块链与雾计算系统中提出一种基于节点剩余资源、网络时延的任务卸载方案。为了实现任务的优化卸载，首先基于任务量对移动终端的预期收益进行了分析，其次基于网络节点剩余计算资源、存储资源、功率资源、网络时延联合分析了移动终端的支出。此后以最大化移动终端的数字货币收益为优化目标建立了数学优化模型，并利用模拟退火(SA)算法对优化模型进行求解。仿真结果证明上述方案的有效性。
关键词:区块链/
雾计算/
网络时延/
资源管理
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.
Key words:Blockchain/
Fog computing/
Network delay/
Resource management



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