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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >VOLAP: A Scalable Distributed Real-Time OLAP System for High-Velocity Data
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VOLAP: A Scalable Distributed Real-Time OLAP System for High-Velocity Data

机译：VOLAP：用于高速数据的可伸缩分布式实时OLAP系统

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This paper presents VelocityOLAP (VOLAP), a distributed real-time OLAP system for high-velocity data. VOLAP makes use of dimension hierarchies, is highly scalable, exploits both multi-core and multi-processor parallelism, and can guarantee serializable execution of insert and query operations. In contrast to other high performance OLAP systems such as SAP HANA or IBM Netezza that rely on vertical scaling or special purpose hardware, VOLAP supports cost-efficient horizontal scaling on commodity hardware or modest cloud instances. Experiments on 20 Amazon EC2 nodes with TPC-DS data show that VOLAP is capable of bulk ingesting data at over 600 thousand items per second, and processing streams of interspersed insertions and aggregate queries at a rate of approximately 50 thousand insertions and 20 thousand aggregate queries per second with a database of 1 billion items. VOLAP is designed to support applications that perform large aggregate queries, and provides similar high performance for aggregations ranging from a few items to nearly the entire database.
机译：本文介绍了VelocityOLAP（VOLAP），这是一种用于高速数据的分布式实时OLAP系统。 VOLAP利用维层次结构，具有高度可伸缩性，同时利用多核和多处理器并行性，并可以保证插入和查询操作的可序列化执行。与其他依靠垂直扩展或专用硬件的高性能OLAP系统（例如SAP HANA或IBM Netezza）相比，VOLAP支持在商品硬件或适度的云实例上进行经济高效的水平扩展。在具有TPC-DS数据的20个Amazon EC2节点上进行的实验表明，VOLAP能够以每秒超过60万个项目的速度批量提取数据，并能够以大约5万次插入和2万次聚合查询的速度处理散布的插入和聚集查询流每秒10亿个项目的数据库。 VOLAP旨在支持执行大型聚合查询的应用程序，并为从几项到几乎整个数据库的聚合提供类似的高性能。

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