求解云计算资源调度的免疫算法

Research on Resource Scheduling Model and Algorithms of Cloud Computing

随着信息社会的飞速发展,云计算不断渗入各界领域,成为处理海量信息数据的主要方式。任务调度问题是云计算研究的核心,其算法的效率对平台用户任务的执行效率和系统资源的使用效率起着决定性作用。本文针对云计算的资源调度问题,提出了一种基于人工免疫理论的云计算动态的任务调度算法。实验结果表明,本文提出的免疫算法能够有效提高云计算资源调度的效率。

With the rapid development of the information society, cloud computing has been infiltrating into all walks of life, becoming the main way to deal with massive information data. Task scheduling is the core of cloud computing research, and the efficiency of its algorithm plays a decisive role in the execution efficiency of platform users’ tasks and the utilization efficiency of system resources. Aiming at the resource scheduling problem of cloud computing, this paper proposes a dynamic task scheduling algorithm based on artificial immune theory for cloud computing. The experimental results show that the immune algorithm is able to effectively improve the efficiency of cloud computing resource scheduling.