Valmar:高带宽实时流数据管理

David O. Bigelow, S. Brandt, John Bent, Hsing-bung Chen
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引用次数: 1

摘要

从射电望远镜到互联网流量监控,我们生成数据的能力已经超过了我们有效捕获、挖掘和管理数据的能力。这些超高带宽数据流通常包含很少有用的信息,大多数数据可以安全地丢弃。但是,定期观察感兴趣的事件时,必须保留大量数据,包括检测到事件之前的数据。这样做需要保证以源速率捕获数据,线速过滤以检测事件和感兴趣的数据点,以及类似tivo的功能,以便在检测到事件后保存过去的数据。我们介绍了Valmar,一个保证捕获、索引和存储超高带宽数据流的系统。我们的结果表明,Valmar在几乎全磁盘带宽的情况下执行,比平面文件和数据库系统快几个数量级,可以很好地处理小型和大型数据元素,并且允许并发读取和搜索访问,而不会影响数据捕获保证。
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Valmar: High-bandwidth real-time streaming data management
In applications ranging from radio telescopes to Internet traffic monitoring, our ability to generate data has outpaced our ability to effectively capture, mine, and manage it. These ultra-high-bandwidth data streams typically contain little useful information and most of the data can be safely discarded. Periodically, however, an event of interest is observed and a large segment of the data must be preserved, including data preceding detection of the event. Doing so requires guaranteed data capture at source rates, line speed filtering to detect events and data points of interest, and TiVo-like ability to save past data once an event has been detected. We present Valmar, a system for guaranteed capture, indexing, and storage of ultra-high-bandwidth data streams. Our results show that Valmar performs at nearly full disk bandwidth, up to several orders of magnitude faster than flat file and database systems, works well with both small and large data elements, and allows concurrent read and search access without compromising data capture guarantees.
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