Nexus: a novel weighted-graph-based prefetching algorithm for metadata servers in petabyte-scale storage systems

Peng Gu, Yifeng Zhu, Hong Jiang, Jun Wang
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引用次数: 30

Abstract

An efficient, accurate and distributed metadata-oriented prefetching scheme is critical to the overall performance in large distributed storage systems. In this paper, we present a novel weighted-graph-based prefetching technique, built on successor relationship, to gain performance benefit from prefetching specifically for clustered metadata servers, an arrangement envisioned necessary for petabyte-scale distributed storage systems. Extensive trace-driven simulations show that by adopting our new prefetching algorithm, the hit rate for metadata access on the client site can be increased by up to 13%, while the average response time of metadata operations can be reduced by up to 67%, compared with LRU and an existing state of the art prefetching algorithm.
Nexus:一种新的基于加权图的预取算法,用于pb级存储系统中的元数据服务器
高效、准确、分布式的元数据预取方案对大型分布式存储系统的整体性能至关重要。在本文中,我们提出了一种新的基于加权图的预取技术,该技术建立在后继关系的基础上,以获得专门针对集群元数据服务器的预取的性能优势,这种安排被认为是pb级分布式存储系统所必需的。大量的跟踪驱动模拟表明,与LRU和现有的最先进的预取算法相比,采用我们的新预取算法,客户端站点上元数据访问的命中率可以提高13%,而元数据操作的平均响应时间可以减少67%。
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