基于雾计算的光群空间分配算法分析

Light group space allocation algorithm based on the fog computing

为提高内存和网络带宽的利用率,减少核心数据中心负荷,提出了基于雾计算的光群空间分配算法。建立了分布式环境下的传输空间的分配新算法,用于节省网络临界资源、提高并行数据处理速度、提高网络带宽、减少服务器负荷等方面。通过相似于凹凸镜的光线工作原理,确定了雾计算空间分配原理;通过分派权限的控制与计算,确定了雾计算环境下分派的空间大小。在此基础上推出了合理的空间计算公式,能够准确计算出基于雾计算分配环境下的光群空间大小。该算法已经成功应用于局网网邮空间管理过程中。

In order to improve the utilization of memory and network bandwidth, and reduce the load of core data center, a space allocation algorithm based on fog computing is proposed. A new distributed algorithm for distributed environment is established to save the network critical resources, improve the processing speed of the parallel data, increase the network bandwidth and reduce the server load. Through the working principle of light similar to the concave convex mirror, the fog allocation space and control is calculated. A reasonable space calculation formula is developed to accurately calculate the group space size of the fog environment. The algorithm has been successfully applied to the post bureau network space management process.