A Scalable Multi-Replication Framework for Data Grid

Shin'ichiro Takizawa, Y. Takamiya, H. Nakada, S. Matsuoka
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引用次数: 14

Abstract

Existing replica services on the Grid we know to date assumes point-to-point communication and file transfer protocol. As such, when hundreds to thousands of hosts on the Grid access a single dataset simultaneously, bottlenecks in networks and/or the data servers will hinder performance significantly. Instead, our replication framework couples efficient, multicast techniques with a replica catalog that automatically detects simultaneous access to the replica by multiple nodes. As a prototype, we have designed and built a portable, XML-based replica location service accounting for such parallel transfer requests, and coupled it with a O(1) bulk file transfer system Dolly+[6]. The benchmarks show that the system is scalable and effective in reducing replication costs significantly in cluster-based replication scenarios.
面向数据网格的可伸缩多复制框架
到目前为止,我们所知道的网格上的现有副本服务采用点对点通信和文件传输协议。因此,当网格上的数百到数千台主机同时访问单个数据集时,网络和/或数据服务器中的瓶颈将严重影响性能。相反,我们的复制框架将高效的多播技术与副本目录结合在一起,副本目录可以自动检测多个节点对副本的同时访问。作为原型,我们设计并构建了一个可移植的、基于xml的副本位置服务,用于处理此类并行传输请求,并将其与O(1)大容量文件传输系统Dolly+相结合[6]。基准测试表明,在基于集群的复制场景中,该系统具有可扩展性,可以有效地显著降低复制成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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