基于云计算平台的虚拟资源可扩展存储算法研究

当前虚拟资源存储算法针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。

Based on cloud computing platform of virtual resources extensible storage algorithm research

The current virtual storage algorithm for large scale virtual resources unable to realize the real-time transmission, low and high energy consumption of the storage, load balance.For this, put forward a new virtual resources based on cloud computing platform scalable storage algorithm, cloud computing platform is introduced, its composed by basic storage layer, control layer, application interface layer and access layer, the system architecture is given.Based on cloud computing platform, through the acquisition of virtual resources cumulant information characteristics, using the K - L feature compression method to realize the virtual resources stored under low load, aiming at the disadvantages of the extension in the process of low to improve.Through adaptive global search to find the best basis function space, storage space restructuring of cloud computing platform, get the improved virtual resource storage structure.The experimental results show that the proposed algorithm is storage space and time delay and energy consumption are lower, the load balance.