面向智慧高速网络节点边缘处理器的资源配置优化

Resource Allocation Optimization for Intelligent High-Speed Network Node Edge Processor

随着B5G时代的到来,边缘计算被广泛用于处理智慧高速网络节点的海量原始数据。但在实际应用中,基于设备成本的考虑,大量边缘处理器并不会配置较为充裕的冗余性计算资源和存储空间,在处理突发事件时可能无法合理分配资源而出现高时延、宕机等问题,进而影响智慧高速公路系统的稳定性和可靠性。为此,提出了一种面向智慧高速网络节点边缘处理器的资源配置优化算法。该算法通过对智慧高速网络节点工作状态进行建模,针对高时延和边缘处理器故障问题,对网络节点边缘处理器的工作状态进行资源配置优化。实验结果表明,该算法可以将智慧高速网络节点处理任务平均时延稳定保持在小于3 ms,在发生突发事件时能通过资源配置有效降低时延,进一步保障了智慧高速公路系统的稳定性和可靠性。

With the advent of B5G era,edge computing is widely employed to process massive raw data from intelligent high-speed network nodes.However,in practice,a large number of fringe processors will not be able to configure sufficient redundancy computing resources and storage due to equipment costs.When dealing with emergencies,it may be unable to assign resources,and difficulties such as excessive latency and downtime may arise,compromising the intelligent highway system′s stability and reliability.Therefore,a resource allocation optimization algorithm for node edge processor in intelligent high-speed network is proposed.By modeling the working state of intelligent high-speed network nodes,the algorithm can optimize the resource allocation of the working state of network node edge processor for the problems of high delay and edge processor failure.Experiments demonstrate that the method can keep the average delay of intelligent high-speed network node processing jobs below 3 ms and effectively reduce the delay through resource allocation in emergencies,ensuring the intelligent highway system′s stability and reliability.