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大规模存储系统可靠性参数最优化分析
引用本文:张林峰,谭湘键,杜凯.大规模存储系统可靠性参数最优化分析[J].计算机工程与应用,2013,49(1):112-119.
作者姓名:张林峰  谭湘键  杜凯
作者单位:1. 湖南农业大学 信息科学技术学院,长沙,410128
2. 湖南农业大学 东方科技学院,长沙,410128
3. 国防科技大学 计算机学院,长沙,410073
摘    要:在大规模存储系统中,数据的可靠性越来越受到人们的关注。已有的研究分析了在系统规模已知的条件下,某些系统参数,如副本分布策略、存储对象数目等,对可靠性的粗略影响,但较少提及它们的最优值或者最优组合。提出了一种基于对象粒度恢复的可靠性新模型;基于该模型,在分析三种主流的副本分布策略的基础上,分别计算出了各个系统参数的独立最优值及其组合最优值。与已有模型相比,该模型更易于求解,且获得了更加综合实用的最优值,这些最优参数值能直接有效地指导系统设计者构建更可靠的大规模存储系统。

关 键 词:数据可靠性  可靠性模型  大规模数据中心

Optimal reliability analysis for large scale storage systems
ZHANG Linfeng , TAN Xiangjian , DU Kai.Optimal reliability analysis for large scale storage systems[J].Computer Engineering and Applications,2013,49(1):112-119.
Authors:ZHANG Linfeng  TAN Xiangjian  DU Kai
Affiliation:1.Information Science and Technology College of Hunan Agricultural University, Changsha 410128, China 2.Orient Science and Technology College of Hunan Agricultural University, Changsha 410128, China 3.School of Computer, National University of Defense Technology, Changsha 410073, China
Abstract:Data reliability are drawn much concern in large-scale storage systems built from thousands of storage devices, which highly depends on many inter-dependent system parameters, such as the replica placement policies, number of stored objects and so on. Previous work has discussed the impacts of these system parameters on reliability roughly and separately, and seldom provided their optimal values, nor mentioned their optimal combination. This paper presents a new object-based-repairing analytic model. Based on analyzing this model in three popular replica placement policies, it figures out the individual optimal values of these parameters at the beginning, and then works out their optimal combination. Compared with the existing models, this model is easier to solve while reaching more integrative and practical conclusions. These conclusions can directly and effectively instruct the designers to build more reliable storage systems.
Keywords:data reliability  reliability model  large scale data center
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