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考虑到云计算商业化和虚拟化特点,针对云环境中的高效资源调度问题,提出一种基于模糊商空间理论的资源调度算法.在进行资源调度时,算法首先将虚拟机资源抽象为不同的属性信息粒,再根据用户任务QoS特征分层进行粒度融合,最后结合模糊商空间理论建立模糊等价类和距离函数,并据此进行资源匹配.实验结果分析表明,该算法能有效的满足用户任务QoS,提高资源利用率.
Considering the commercialization and virtualization features of cloud computing, a resource scheduling algorithm based on fuzzy quotient space theory is proposed to solve the problem of efficient resource scheduling in cloud environment. During resource scheduling, the algorithm first abstract the virtual machine resources as different At last, the fuzzy equivalence class and distance function are established based on the fuzzy quotient space theory, and the resource matching is carried out.Experimental results show that this algorithm can effectively meet the needs of users Mission QoS, improve resource utilization.