基于边缘计算的任务分配算法研究

Research on Task Assignment Algorithm Based on Edge Computing

在云计算网络中,针对处理大规模任务时对降低时延和通信代价的需求,提出了一种基于边缘计算的任务分配方法。该方法首先根据任务的类别、算力需求和紧迫程度生成任务优先级队列,其次根据边缘节点的计算、传输和存储能力衡量其综合性能,最后利用改进后的蚁群算法为任务选择合适的边缘节点。实验结果表明,该任务分配方法在降低计算任务时延以及优化资源分配上都具有较好的效果。

A task allocation method based on edge computing is proposed to reduce the time delay and communication cost when dealing with large-scale tasks in cloud computing network.The method firstly generates task priority queues based on the task’s category,computing power demand and urgency of tasks,secondly measures the comprehensive performance of edge nodes based on their computing,transmission and storage capabilities,and finally uses an improved ant colony algorithm to select the appropriate edge node for the task.The experimental results show that the task allocation method has better effects in reducing the computational task time delay and optimizing the resource allocation.