一种电网云平台资源调度算法的研究

Ｒesearch on Power Grid Cloud Platform Ｒesource Scheduling Algorithm

摘要:

针对规模快速扩大的电网云平台所暴露出能源成本高和计算调度资源效率低的问题，基于负载均衡的概念 和原理，提出了一种节能负载均衡全局优化算法，用于优化电网云平台的计算资源调度。首先云平台的资源调度问 题是一个旨在优化能源消耗和负载均衡组合优化问题; 然后提出了基于负载均衡策略和克隆选择原则的资源调度算 法; 最后实验表明，该算法能有效降低云平台的能耗，提高其资源调度效率。

Abstract:

Aiming at the problem of high energy costs and low computation efficiency of scheduling resource in the rapidly expanding power grid cloud platform，an energy － saving load balancing global optimization algorithm is proposed for optimizing power grid cloud based on the concept and principle of load balancing． Firstly，the resource scheduling problem of cloud platform is a problem that aims to optimize the combined optimization of energy consumption and load balancing． And then，a resource scheduling algorithm based on load balancing strategy and clonal selection principle is proposed． Finally，experiments show that the proposed algorithm can effectively reduce the energy consumption of cloud platform and improve its resource scheduling efficiency．