基于膜计算和蚁群算法的电网云平台资源配置方法

Resource allocation method of power grid cloud platform based on membrane computing and ant colony algorithm

针对电力系统云平台快速应用发展情况下,电网数据分析处理资源利用不均衡、电力系统数据中心结构复杂的现状,文中提出基于电力分析计算任务划分的云计算虚拟资源配置方法,从而较好地解决当前云计算存在的资源调度不合理问题。该方法引入膜计算概念,将云平台下的复杂分析任务按资源配置时间的不同划分为多类;采用改进蚁群算法按照资源占用率和计算机能耗为应用目标逐类实现虚拟资源的优化分配。仿真证明基于任务划分和蚁群算法的电网云平台虚拟资源配置方法可以提高调度效率,均衡分配资源,较好地实现云平台虚拟资源利用的最大化。

Aiming at the current situation of rapid application and development of the power system cloud platform,the power grid data analysis and processing resources are unevenly used and the power system data center structure is complex.The current cloud computing has unreasonable resource scheduling problems.So a method for cloud computing virtual resource allocation based on power analysis computing task division is proposed in this paper.This method introduces the concept of membrane computing,and divides the complex analysis tasks under the cloud platform into multiple categories according to the different time of resource allocation.The improved ant colony algorithm is used to achieve the optimal allocation of virtual resources according to the utilization rate of resources and computer energy consumption.The simulation results show that the resource optimization scheduling method based on task classification and ant colony algorithm is efficient and balanced.