tsdb: A Compressed Database for Time Series
tsdb: A Compressed Database for Time Series
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tsdb：时间序列压缩数据库
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
F. Fusco
中科院分区：
文献类型：
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作者：
L. Deri;Simone Mainardi;F. Fusco
大规模网络监控系统需要有效存储和整合测量数据。关系数据库和流行的工具，如循环数据库，在处理大量的时间序列时显示出它们的局限性。这是因为数据访问时间会随着数据的基数和测量次数的增加而大大增加。结果是，监控系统被迫以低频率存储非常少的度量，以便在可接受的时间边界内授予数据访问。
本文介绍了一种新的压缩时间序列数据库名为tsdb，其目标是允许大的时间序列存储和合并在有限的磁盘空间使用的实时。验证表明，与传统方法相比，tsdb具有优势，并表明tsdb适合于处理大量的时间序列。
Large-scale network monitoring systems require efficient storage and consolidation of measurement data. Relational databases and popular tools such as the Round-Robin Database show their limitations when handling a large number of time series. This is because data access time greatly increases with the cardinality of data and number of measurements. The result is that monitoring systems are forced to store very few metrics at low frequency in order to grant data access within acceptable time boundaries.
This paper describes a novel compressed time series database named tsdb whose goal is to allow large time series to be stored and consolidated in realtime with limited disk space usage. The validation has demonstrated the advantage of tsdb over traditional approaches, and has shown that tsdb is suitable for handling a large number of time series.