云计算资源调度研究综述

Survey of Resource Scheduling in Cloud Computing

资源调度是云计算的一个主要研究方向。首先对云计算资源调度的相关研究现状进行深入调查和分析;然后重点讨论以降低云计算数据中心能耗为目标的资源调度方法、以提高系统资源利用率为目标的资源管理方法、基于经济学的云资源管理模型,给出最小能耗的云计算资源调度模型和最小服务器数量的云计算资源调度模型,并深入分析和比较现有的云资源调度方法;最后指出云计算资源管理的未来重要研究方向:基于预测的资源调度、能耗与性能折衷的调度、面向不同应用负载的资源管理策略与机制、面向计算能力(CPU、内存)和网络带宽的综合资源分配、多目标优化的资源调度,以便为云计算研究提供有益的参考。

Resource scheduling is a fundamental issue in cloud computing.The resource scheduling methods of reducing energy consumption and improving resource utilization in cloud computing data center,and economics-based cloud resource management models were discussed.Then cloud computing resource scheduling model of minimizing energy consumption and minimizing number of servers was proposed.Finally,important directions for future research in resource scheduling of cloud computing,which include prediction-based resource scheduling,power and performance trade-off scheduling,resource management policies and mechanisms for different application workload types,comprehensive multi-resource allocation with computing power（CPU,memory） and network bandwidth,multi-objective optimization of resource scheduling,were presented.