Reliability Design for Large Scale Storage Systems
Data reliability are drown much concern in largescale 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. In this paper, we present a new object-based-repairing analytic model. Based on analyzing this model in three popular replica placement policies,we figure out the individual optimal values of these parameters at the beginning, and then work out their optimal combination.Compared with the existing models, our 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.
data reliability reliability model large-scale storage system
Kai Du Huaimin Wang Shuqiang Yang Yingwen Chen Yan wen
School of Computer Science, National University of Defense Technology, Changsha 410073, China
国际会议
11th IEEE High Assurance Systems Engineering Symposium(HASE 2008)(第十一届IEEE高可信系统工程国际研讨会)
南京
英文
463-466
2008-12-03（万方平台首次上网日期，不代表论文的发表时间）