摘要
在融合区块链与边缘计算系统中,如何缩短任务执行时长以帮助矿工节点以最快的速度获得数字货币奖励是极为重要的问题.通过考虑不同任务卸载方式的性能差异,提出了一种能耗受限的最小化时延任务卸载方案TOSML.首先对融合区块链与边缘计算系统中的任务执行时长和能量消耗进行了数学分析,然后在系统总能耗及终端能耗均受限的条件下,建立了以最小任务执行时长为目的的数学优化模型,最后利用遍历算法对上述优化模型进行求解.在仿真中,对系统的能量消耗、执行时长等参数进行了对比分析,仿真结果证明此策略能够有效提升矿工节点挖矿速度.
In the joint blockchain and edge computing system,how to shorten the time spend in task execution to assist the miner get the digital currency reward in a quickly way is an extremely important issue.In this paper,by considering the difference in performance of different task off loading methods,an energy-limited minimum delay task off loading scheme namely TOSML is proposed.Firstly,the mathematical analysis of task execution time and energy consumption in the joint blockchain and edge computing system is carried out.Thereafter,under the condition that the system’energy consumption and terminal end’s energy consumption are limited,a mathematical optimization model with the purpose of minimum task execution time is formulated.The above optimization model is then solved resort to traversal algorithm.The parameters such as energy consumption and execution time of the system are compared and analyzed in the simulation.The simulation results prove that the proposed strategy can effectively improve the mining speed of miner.
作者
李聪
刘通
LI Cong;LIU Tong(School of Big Data and Internet of Things,Chongqing Vocational Institute of Engineering, Chongqing 402260,China;Communication and Information Engineering,Chongqing University of Post and Telecommunications,Chongqing 400065,China)
出处
《南阳师范学院学报》
CAS
2021年第3期45-50,共6页
Journal of Nanyang Normal University
基金
国家自然科学基金项目(61571073)
重庆工程职业技术学院教改课题(JG192013)
重庆工程职业技术学院科研课题(KJB201917)
重庆工程职业技术学院教改课题(JG202043S)。
关键词
区块链
边缘计算
网络时延
能量消耗
blockchain
edge computing
network delay
energy consumption