Terabyte大小的ROLAP数据立方体的高效并行生成和查询

22nd International Conference on Data Engineering (ICDE'06) Pub Date : 2006-04-03 DOI:10.1109/ICDE.2006.32

Ying Chen, A. Rau-Chaplin, F. Dehne, Todd Eavis, D. Green, E. Sithirasenan

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引用次数: 20

摘要

我们介绍了cgmOLAP服务器，这是第一个功能齐全的并行OLAP系统，能够以每小时超过1 tb的速度构建数据集。cgmOLAP结合了各种新的方法来并行计算全立方体、部分立方体和冰山立方体，以及新的并行立方体索引方案。cgmOLAP系统包括一个应用程序接口、一个并行查询引擎、一个并行多维数据集实体化引擎、元数据和成本模型存储库，以及提供I/O、内存、通信和磁盘资源统一管理的共享服务器组件。

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cgmOLAP: Efficient Parallel Generation and Querying of Terabyte Size ROLAP Data Cubes

We present the cgmOLAP server, the first fully functional parallel OLAP system able to build data cubes at a rate of more than 1 Terabyte per hour. cgmOLAP incorporates a variety of novel approaches for the parallel computation of full cubes, partial cubes, and iceberg cubes as well as new parallel cube indexing schemes. The cgmOLAP system consists of an application interface, a parallel query engine, a parallel cube materialization engine, meta data and cost model repositories, and shared server components that provide uniform management of I/O, memory, communications, and disk resources.

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22nd International Conference on Data Engineering (ICDE'06)

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