云计算环境下资源调度机制的讨论摘要：在云环境中，由于需求的不确定性和节点的资源处理能力的差异，节点之间必定会出现资源分配不均衡问题，这将导致节点负载差异大,直接导致了资源的利用率降低,从而影响云环境下的资源利用。本文首先分析了常用的负载均衡算法，提出了基于概率预测的负载平衡算法，其本质是对处理能力优先的权重分配算法的改进，针对采纳固定权重引起的效率问题，通过动态调整和反馈预测，结合任务请求类型进行任务分配.通过 CloudSim 仿真平台的仿真，并与其他分配算法相比，实验结果表明,该算法可以高效率完成虚拟机放置，使得云数据中心的物理机具有较低的负载不均衡度, 提高了系统资源的利用率.关键字：云计算 资源调度 负载均衡 云计算仿真器Abstract In the cloud environment， because of demand uncertainty and difference in procession ability of node resources， it will inevitably appear unbalance problem in certain node， this will cause large difference in node load and directly causes decrease in resources utilization， so it greatly affects resources utilization under cloud environment 。 This paper firstly makes analysis on the usual load balance algorithm ， it proposes load balance algorithm of probability prediction based on dynamic feedback， its nature is the improvement for weight allocation algorithm with superior procession ability, for the efficiency problems caused by fixed value， and it can allocate tasks by combing with task pattern of user request。 Through the simulation of CloudSim simulation platform, and compared with other allocation algorithms ， the experimental results show that the scheduling algorithm can quickly complete the placement of virtual machine ， and the physical machine cloud data center has a low load imbalance degree ， improve resource utilization rate。Keywords： Cloud computing； Load balancing; Probability prediction0 引言云计算（cloud computing）是基于互联网的相关服务的使用和交付...
