PUMA
Istituto di Informatica e Telematica     
Deri L., Mainardi S., Fusco F. tsdb: A Compressed Database for Time Series. In: TMA 2012 (Vienna, 2012). Proceedings, pp. 143 - 156. Springer Verlag, 2012.
 
 
Abstract
(English)
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 monitor- ing 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 real- time with limited disk space usage. The validation has demonstrated the advan- tage of tsdb over traditional approaches, and has shown that tsdb is suitable for handling a large number of time series.
Subject web-based data visualisation
time series
Large-scale datasets
C.2.3 Network Operations
C.2.2 Network Protocols


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