云存储环境下分组校验纠删码冗余算法研究  

Redundancy Algorithm of Group Parity Erasure Code Under Cloud Storage Environment

作　　者：曾赛峰[1] 屈喜龙[1,2] 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)

机构地区：[1]湖南工程学院计算机与通信学院,湘潭411104 [2]湖南工程学院风力发电机组及控制湖南省重点实验室,湘潭411104

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)

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.

关 键 词：云存储 纠删码 冗余算法 分组校验 

分 类 号：U462.3[机械工程—车辆工程] TM615[交通运输工程—载运工具运用工程]