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区块链中基于数据压缩的移动边缘计算卸载策略

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为了解决区块链系统吞吐量低下的问题,提出了一种基于数据压缩、支持移动边缘计算的区块链网络下的压缩卸载策略.在优化计算资源和不优化计算资源2种方案下,通过优化卸载率和压缩率,使系统计算时延最小化.针对该非凸问题,利用辅助变量法和松弛变量进行转化.对于未优化计算资源的方案,直接使用现有工具求解;而针对优化计算资源的方案,提出了有效的迭代算法来求解转化后的问题.仿真实验结果表明,所提迭代算法具有较快的收敛速度和较高的准确性,且优化计算资源的性能优于未优化计算资源的性能.与其他策略相比,基于数据压缩的策略能够更有效地加快计算速度,解决区块链系统吞吐量低下的问题.
MEC Offloading Strategy Based on Data Compression in Blockchain
In order to solve the problem of low throughput of blockchain system,an offloading strategy based on data compression is proposed under the integration of blockchain network and mobile edge computing.The system computing delay is minimized by optimizing the offloading rates and compression rates under the two schemes of optimized and non-optimized computing resources,respectively.The auxiliary variables and relaxation variables are used to transform the non-convex problem and the existing tools are utilized to solve the unoptimized computing resources problem directly.An effective iterative algorithm is proposed to solve the transformed problem for optimized computing resource scheme.Matlab simulation results show that the proposed iterative algorithm has a faster convergence speed and higher accuracy,and the performance of optimized computing resources is better than that of unoptimized computing resources.Compared with other strategies,the strategy based on data compression can accelerate the computation speed more effectively and solve the problem of low throughput of the blockchain system.

Internet of thingsmobile edge computingblockchainresource allocationcomputing offloading

韩冰、尹沛桐、叶迎晖、卢光跃

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西安邮电大学陕西省信息通信网络及安全重点实验室,西安 710121

轨道交通工程信息化国家重点实验室(中铁一院),西安 710043

物联网 移动边缘计算 区块链 资源分配 计算卸载

2024

北京邮电大学学报
北京邮电大学

北京邮电大学学报

CSTPCD北大核心
影响因子:0.592
ISSN:1007-5321
年,卷(期):2024.47(5)