New Algorithms for File System Cooperative Caching

Eric Anderson, Christopher Hoover, Xiaozhou Li
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引用次数: 7

Abstract

We present two new cooperative caching algorithms that allow a cluster of file system clients to cache chunks of files instead of directly accessing them from origin file servers. The first algorithm, called C-LRU (Cooperative-LRU), is based on the simple D-LRU (Distributed-LRU) algorithm, but moves a chunk's position closer to the tail of its local LRU list when the number of copies of the chunk increases. The second algorithm, called RobinHood, is based on the N-Chance algorithm, but targets chunks cached at many clients for replacement when forwarding a singlet to a peer. We evaluate these algorithms on a variety of workloads, including several publicly available traces, and find that the new algorithms significantly outperform their predecessors.
文件系统协同缓存的新算法
我们提出了两种新的协作缓存算法,允许文件系统客户端集群缓存文件块,而不是直接从原始文件服务器访问它们。第一种算法称为C-LRU (Cooperative-LRU),基于简单的D-LRU (Distributed-LRU)算法,但是当块的副本数量增加时,将块的位置移动到更靠近其本地LRU列表尾部的位置。第二种算法称为RobinHood,基于N-Chance算法,但在向对等端转发单个let时,针对缓存在许多客户机上的块进行替换。我们在各种工作负载上评估了这些算法,包括一些公开可用的跟踪,并发现新算法明显优于它们的前辈。
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