基于移动边缘计算的区块链资源分配算法仿真  

Simulation of Blockchain Resource Allocation Algorithm Based on Mobile Edge Computing

作　　者：李凡[1] 王超[1] LI Fan;WANG Chao(College of Blockchain Technology,Chengdu University of Information Technology,Sichuan Chengdu610225,China)

机构地区：[1]成都信息工程大学区块链产业学院,四川成都610225

出　　处：《计算机仿真》2022年第9期420-424,共5页Computer Simulation

摘　　要：已有的区块链资源分配算法存在分配任务时延较长,且在实际应用中该方法下的资源分配过程能耗过高。为解决上述问题,提出基于移动边缘计算的区块链资源分配算法。利用区块链技术构建去中心化的资源管理模型,将资源账本交给网络中的全部参与者共同维护,利用一个以太坊主链和多个以太坊侧链构成的多用户异构蜂窝网络,实现多用户异构蜂窝移动边缘计算。以以太坊主、侧链的计算资源、任务的时延为约束条件,建立边缘计算能耗迁移与资源分配联合优化模型,并采用蚁群算法通过构建蚂蚁“觅食”路径与更新信息素过程求解模型,获取资源分配全局最优解,实现低能耗的区块链资源分配。仿真结果证明了所提算法消耗的移动边缘计算服务器电池容量与电池能量较低,且该算法收敛性较强,区块链资源分配效果理想。Due to long task delay and high energy consumption of resource allocation in current algorithms, this paper presented an algorithm of blockchain resource allocation based on mobile edge computing. At first, the blockchain technology was used to build a decentralized resource management model. And then resource books were given to all participants in network for joint maintenance. Moreover, an Ethereum side chain and several side chains were combined to form a multi-user heterogeneous cellular network, and thus to realize its mobile edge computing. Furthermore, computing resources, tasks, time delay of Ethereum main chains and Ethereum side chains were used as constraint conditions, and a joint optimization model of energy consumption migration and resource allocation of the edge computing was built. Meanwhile, the ant colony algorithm was used to construct an ant "foraging" path and update the pheromone, thus solving the model and getting the global optimal solution. Finally, the resource allocation of blockchain with low energy consumption was achieved. Simulation results prove that the proposed algorithm consumes less battery capacity and battery energy of mobile edge computing servers, with strong convergence. In addition, the effect of blockchain resource allocation is ideal.

关 键 词：边缘计算 区块链资源分配 以太坊主链 以太坊侧链 全局最优解 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]