SGER: Investigating Degrading Failure Recovery in Large Scale, Heavily Utilized Disk Storage Systems

摘要OCI 0852543 Garth吉布森，首席研究员卡内基梅隆大学SGER：研究大规模、高利用率磁盘存储系统中的降级故障恢复这一SGER提案响应了奈良对文件系统和I/O研究的兴趣，特别是对基于超大型磁盘的系统的容错、高度可扩展、持续I/O的方法和因素的兴趣。私家侦探曾在一个研讨会上预测，在越来越大的磁盘存储系统中，磁盘大小的增加会带来危险。为了更好地理解这一猜测的含义，CMU将探讨磁盘大小的增加对大型磁盘存储系统的性能和可靠性的影响，导致故障恢复期间性能下降的时间增加，以及存储数据容量的扩展，导致可能失败的组件的总数增长。私家侦探他的团队将探索不同的策略，以平衡容量开销、性能开销和数据可靠性，例如，在冗余数据较多的情况下恢复较慢，在性能下降较多的情况下恢复较快，以及在特定故障模式的点解决方案中使用冗余的新方法。

AbstractOCI 0852543Garth Gibson, Principal InvestigatorCarnegie Mellon UniversitySGER: Investigating Degrading Failure Recovery in Large Scale, Heavily Utilized Disk Storage SystemsThis SGER proposal responds to an interest from NARA in File Systems and I/O research, specifically, in methods and factors contributing to fault tolerant, highly scalable, sustained I/O for very large disk based systems. The P.I. had predicted in a workshop the dangers of increasing disk sizes in ever larger disk storage systems.In order to better understand the implication of this speculation, CMU will explore the implications on performance and reliability in large scale disk storage systems of the increasing size of magnetic disks, causing the periods of degraded performance during failure recovery to grow, and the scaling of stored data capacity, causing the total number of components that might fail to grow. The P.I. and his team will explore different strategies for trading off capacity overhead, performance overhead and data reliability, for example, slower recovery in more redundant data, faster recovery with more performance degradation, and novel uses of redundancy for point solutions of specific failure modes.