摘要
在海量云存储系统中,提高存储利用率,降低冗余方案的计算复杂度是热点研究问题.分组校验纠删码冗余算法能够减少在数据重构时所需的纠删码片段,从而减少对存储网络带宽以及系统I/O的需求,降低存储系统的负载.介绍了分组校验纠删码的编码规则,参数设置,通过实验分析算法具有良好的容错能力与空间利用率,能够满足云存储系统需要的编解码性能.
In the massive cloud storage and reduce the computation complexity sy of stem, the hot research problem is to improve storage utilization redundancy scheme. Redundancy algorithm of group parity era- sure code can reduce the erasure code fragments required for data reconstruction, thereby decreasing the demand for storage network bandwidth and system I/O, and reducing the load of the storage system. Cod- ing rules and parameter settings of group parity erasure code are described in this paper. Good fault toler- ance and space utilization are verified through experimental analysis algorithm, meeting the codec perform- ance required for cloud storage system.
作者
曾赛峰
屈喜龙
ZENG Sai-feng QU Xi-long(School of Computer and Communication, Hunan Institute of Engineering, Xiangtan 411104, China Hunan Provincial Key Laboratory of Wind Generator and Its Control, Hunan Institute of Engineering, Xiangtan 411104, China)
出处
《湖南工程学院学报（自然科学版）》
2016年第4期42-45,共4页
Journal of Hunan Institute of Engineering(Natural Science Edition)
基金
湖南省自然科学基金资助项目(2016JJ2040)
湖南工程学院博士启动基金项目(15044)
关键词
云存储
纠删码
冗余算法
分组校验
cloud storage
erasure code
redundancy algorithm
group parity
