基于云计算平台的虚拟资源可扩展存储算法

发布时间：2018-08-06 21:20

【摘要】：当前虚拟资源存储算法对规模较大的虚拟资源无法实现实时传输,且存储能耗高、负载均衡性较差。为此,提出一种新的基于云计算平台的虚拟资源可扩展存储算法,介绍了云计算平台,其由存储层、基础控制层、应用接口层和访问层构成,给出其系统架构。依据云计算平台,通过采集虚拟资源的高阶累积量信息特征,利用K-L特征压缩法实现虚拟资源的低负荷存储,针对该过程扩展性能低的弊端对其进行改进。通过自适应全域空间搜索找到最佳基函数,对云计算平台的存储空间进行重组,得到改进后的虚拟资源存储空间结构。实验结果表明,所提算法存储空间、时延和能耗均较低,负载均衡性强。
[Abstract]:The current virtual resource storage algorithm can not realize real-time transmission of large scale virtual resources, and the storage energy consumption is high, and the load balance is poor. In this paper, a new virtual resource scalable storage algorithm based on cloud computing platform is proposed. The cloud computing platform is composed of storage layer, basic control layer, application interface layer and access layer. According to cloud computing platform, by collecting the information features of high-order cumulant of virtual resources, K-L feature compression method is used to realize the low-load storage of virtual resources. The optimal basis function is found by adaptive global space search and the storage space of cloud computing platform is reorganized to obtain the improved virtual resource storage space structure. The experimental results show that the proposed algorithm has lower storage space, lower delay and energy consumption, and better load balance.
【作者单位】：长春工业大学人文信息学院;
【基金】：吉林省高等教育教学改革研究课题吉林省高等教育学会高教科研课题(JGJX2016D206,JGJX2016D207)资助
【分类号】：TP393.0

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