面向大规模网络的超高密度信息存储系统设计

Design of super high density information storage system for large scale network

大规模集群网络中含有大量云数据信息,进行高密度信息存储时,为了提高数据的存储容量,降低存储开销,提高存储系统的吞吐性能,提出一种基于负载均衡控制的面向大规模网络的超高密度信息存储系统设计方法.进行大规模网络的海量大数据超高密度信息存储结构模型总体设计及数据分布式结构分析,采用负载均衡控制方法进行信息存储空间冗余数据特征压缩及信息存储优化算法设计.通过程序加载实现存储系统软件开发与优化.仿真结果表明,采用该存储系统进行大规模网络海量数据信息存储,存储空间的分布密度较高,存储开销较小,提高了存储系统的吞吐性能.

Large-scale cluster network contains a large number of cloud data information,when storing high density information, in order to improve the storage capacity of data, reduce the storage costs,improve the throughput performance of the storage system, a kind of based on load balancing control for super high density information storage system design method of large scale network is put forward. Large-scale network mass big data super high density informa- tion storage structure model of the overall design and analysis of data distributed structure, load balancing control method is adopted to improve the information storage characteristics of redundant data compression algorithm design and information storage optimization. Based on the algorithm design, loaded by the program to realize the storage system software develop-ment and optimization. The simulation results show that using the mass data storage system for large scale network information storage,the storage distribution density is higher, smaller the storage overhead is smaller, improving the throughput performance of the storage system, shows a good application value.