为了对虚拟计算环境(iVCE)中有资源偏好的应用需求做更精细化的资源调度支撑,提出了基于模糊聚类的资源调度算法.该算法针对应用的资源偏好,使用模糊关联聚类的方法对资源进行处理,进一步缩小了资源的选择范围,降低了直接对原始资源进行聚类的空间复杂度,从而为资源的精细化调度提供了基础.
In order to solve the problem of reasonable resource scheduling in virtual computing environ- ment (iVCE) , the optimization for resource clustering technology was carried out. A resource matching algorithm (fuzzy clustering scheduling) based on fuzzy clustering was proposed. Scheduling strategy for different resources with different tasks and attributes was put forward in the proposed model. The algo- rithm narrows choices of resources and directly reduces the space complexity of the original resource.