Abstract:

Efficient resource provision and schedule is the key to build a private cloud environment. This paper presents a resource provision and schedule approach based on the proposed cloud application meta-model for cloud applications in a private cloud environment. It creates a minimum spanning tree according to the characteristics among virtual machines, and splits the set of virtual machines and maps them to the physical hosts by using the graph theory based on split clustering algorithm. The experiments and comparative analysis of the method for virtual machines show that the approach is efficient in enhancing the overall performance of cloud applications while reducing the consumption of physical network equipments and bandwidth resources.

Key words: cloud computing, cloud application, Infrastructure as a Service(IaaS), schedule policy, cloud service broker, split clustering

摘要：

针对私有云环境中资源交付与调度的高效实现问题，提出一种面向云应用的资源交付调度及实现方法。该方法以云应用元模型为核心，根据模型中虚拟机间数据交互特征生成最小生成树，采用图论分裂聚类算法拆分虚拟机集合并映射物理主机。通过对比分析面向虚拟机调度的实验数据，证明该方法能在提升云应用整体性能的同时降低云应用对物理网络设备及带宽资源的占用。

关键词: 云计算, 云应用, 基础设施服务, 调度策略, 云服务代理, 分裂聚类

CLC Number: 

• TP393