在公共架构中实现吞吐量和功能:数据周期实验

T. Bowen, M. Cochinwala, G. Gopal, G. Herman, T. Hickey, Kuo Chi Lee, W. Mansfield, J. Raitz
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引用次数: 1

摘要

只提供摘要形式。Datacycle数据库体系结构基于在高带宽通道上重复广播数据库内容和实时过滤数据库内容以提取感兴趣的记录。这两种机制——高速广播和实时过滤——使系统能够实现高性能事务处理、强大而灵活的查询能力以及多个应用程序对单个数据库的高级别并发访问。原型系统包括多个泵板,每个泵板存储多达128 mb的数据库内容,以及多个访问管理板,每个访问管理板包含三个板载VLSI数据滤波芯片。每个VLSI滤波器对53 Mbyte/秒广播信道的内容执行查询;选择的记录和/或计算的聚合值返回给主机应用程序
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Achieving throughput and functionality in a common architecture: the Datacycle experiment
Summary form only given. The Datacycle database architecture is based on repetitive broadcast of database contents over high bandwidth channels and on-the-fly filtering of database contents to extract records of interest. These two mechanisms-high speed broadcast and on-the-fly filtering-result in a system that achieves the goals of high performance transaction processing, a powerful and flexible query capability, and high levels of concurrent access to a single database by multiple applications. The prototype system comprises multiple pump boards, each of which stores up to 128 Mbytes of database contents, and multiple access manager boards, each of which contains three on-board VLSI data filter chips. Each VLSI filter executes queries against the contents of a 53 Mbyte/second broadcast channel; selected records and/or computed aggregate values are returned to the host application.<>
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High-quality and high-performance full-text document retrieval: the Parallel InfoGuide System Parallel sorting on a shared-nothing architecture using probabilistic splitting Marker-passing on a parallel knowledge processing testbed Achieving throughput and functionality in a common architecture: the Datacycle experiment Load balancing algorithms for parallel database processing on shared memory multiprocessors
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