云资源调度中的最优利用率模型仿真分析  

Simulation Analysis of the optimal Utilization rate model in Cloud Resource Scheduling

作　　者：诸振家[1] 陆云帆[1] 王鑫[2] 

机构地区：[1]深圳信息职业技术学院软件学院,广东深圳518172 [2]深圳大学机电与控制工程学院,广东深圳518060

出　　处：《计算机仿真》2016年第1期396-399,共4页Computer Simulation

基　　金：深圳信息职业技术学院校级科研项目(LG2014029)

摘　　要：提高云资源的利用率能够提高云服务的质量,具有重要的实用价值。由于云环境下云资源的调度过程过于复杂,缺少一个全面的调度标准,导致传统的资源调度算法采用多约束、多目标的调度标准,过多的目标导致调度过程过于复杂。为此提出一种考虑利用率最大化的云资源调度方法。将云环境下异构性的云计算资源转换为统一的虚拟机资源,并用同一指标对计算资源进行衡量;建立利用率最大化的云资源调度模型,获得模型的约束条件,利用梯度下降法对模型进行迭代运算,最终得到模型的最优解,即利用率最大化的云资源调度方案。仿真结果表明,改进算法能够提高云资源的利用率,并缩短了调度时间。Improve the utilization rate of cloud resources to improve the quality of cloud services, have important practical value. Due to a cloud environment cloud resource scheduling process is too complex, lack of a comprehensive standard of scheduling, lead to the traditional resource scheduling algorithm of multi constraints, a multi-objective scheduling standard, too many goals lead to overly complex scheduling process. For this, put forward a kind of efficiency maximization cloud resource scheduling method. The cloud environment heterogeneity of cloud computing resources into a unified virtual machine resources, computing resources by the same indicators to measure; Establish the cloud resource scheduling model based on maximum utilization, obtain model of constraint condition, using the gradient descent method to iterative operation, the model of the resulting model optimal solution, namely maximize u- tilization of cloud resource scheduling scheme. The simulation experimental resuhs show that the improved algorithm can improve the utilization rate of cloud resources, shortens the time of scheduling.

关 键 词：利用率最大化 云资源 调度模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]