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Scalable Cooperative Caching with RDMA-Based Directory Management for Large-Scale Data Processing

机译:可扩展的协作缓存与基于RDMA的目录管理一起用于大规模数据处理

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Cooperative caching provides an extensive virtual file cache by combining file caches on all nodes. We propose a novel cooperative caching method that addresses two problems of existing methods: lack of utilization of high-throughput, low-latency remote direct memory access (RDMA) and low scalability against concentrated requests for a particular cache block. The proposed method uses only RDMA to provide cooperative caching, namely, to lookup a cache block location in the cache directory, transfer a cache block between nodes, etc. In addition, nodes are partitioned into groups and managed semi-independently to achieve high scalability through mitigating access concentration on a particular node and to reduce data transfer for cache management. We implemented the proposed method as a library and evaluated it on the K computer and Fujitsu PRIMEHPC FX10. Results showed speedups for sequential, random and strided accesses.
机译:协同缓存通过组合所有节点上的文件缓存来提供广泛的虚拟文件缓存。我们提出了一种新颖的协作式缓存方法,该方法解决了现有方法的两个问题:缺乏高吞吐量,低延迟的远程直接内存访问(RDMA)的利用以及针对特定缓存块的集中请求的低可伸缩性。所提出的方法仅使用RDMA提供协作缓存,即在缓存目录中查找缓存块位置,在节点之间传输缓存块等。此外,将节点划分为组并进行半独立管理以实现高可伸缩性通过减轻特定节点上的访问集中并减少用于缓存管理的数据传输。我们将所提出的方法实现为一个库,并在K计算机和Fujitsu PRIMEHPC FX10上对其进行了评估。结果显示,顺序访问,随机访问和大步访问的速度都有所提高。

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