启发式规划算法下云边缘节点均衡调度仿真

Simulation of Cloud Edge Node Equilibrium Scheduling Based on Heuristic Programming Algorithm

云边缘节点调度性能过差会加重网络数据处理负担,使移动端用户需求难以得到满足。为了缓解网络云边缘传输压力,提出基于启发式规划算法的云边缘节点调度方法。创建基于云边缘节点的空间域,经过空间域建模的云边缘节点成功弥补了由通讯干扰、链路传输模式不当和数据包丢失所导致的传感器稳定性下降的问题。以云边缘节点空间域为基础,深入探讨不同调度任务对CPU、节点选择概率等因素的约束条件。在约束条件的协助下通过启发式规划算法选择合适的底层算法,实现云边缘节点调度。仿真结果表明,所提方法调度性能强、负载平衡度高。

Poor scheduling performance of cloud edge nodes can increase the burden of network data processing,making it difficult to meet the needs of mobile users.In order to alleviate the pressure of network cloud edge transmission,a cloud edge node scheduling method based on heuristic programming algorithm is proposed.Firstly,we constructed a space domain based on cloud edge node.These cloud edge nodes modeled in the space domain successfully made up for the decline in sensor stability caused by communication interference,improper link transmission mode and data packet loss.Based on the space domain of cloud edge node,we discussed the constraints of different scheduling tasks on CPU,node selection probability and other factors are in depth.With the help of constraints,we used the heuristic planning algorithm to select the appropriate underlying algorithm,thus achieving the cloud edge node scheduling.Simulation results show that the proposed method has strong scheduling performance and high load balance.