文章基本信息

标题：A Time-Series Database Analysis Based on a Multi-attribute Maturity Model
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作者：Ionut PETRE ; Radu BONCEA ; Constanta Zoie RADULESCU 等
期刊名称：Studies in Informatics and Control Journal
印刷版ISSN：1220-1766
出版年度：2019
卷号：28
期号：2
页码：177-188
DOI：10.24846/v28i2y201906
出版社：National Institute for R&D in Informatics
摘要：TSDBs are capable of diverse functionalities regarding operations on time series data and are developed using different technologies. A large number of TSDB solutions, available both as open source and commercial software, has emerged in the last years. Selecting the proper TSDB is a challenging endeavour for a potential enterprise client. In this paper, a set of open-source TSDBs which includes InfluxDB, Graphite, RRDTool, Prometheus, OpenTSDB and TimescaleDB – has been selected for analysis, evaluation and ranking. A comparison of TSDBs implies the establishment of a set of attributes. A set of quantitative and qualitative attributes which have different scales and units of measure has been selected. The problem of selecting or ranking TSDBs evaluated in this paper with a set of attributes is a Multi-Attribute Decision Making problem (MADM). For solving the TSDBs evaluation, analysis and selection a multi-attribute TSDBs maturity model has been proposed. The model for the selected TSDBs set and for the 18 attributes, 10 quantitative and 8 qualitative, has been validated. The model for all the attributes, both quantitative and qualitative, has been solved and, finally, a comparison between the obtained rankings has been made. The comparison of the ranks obtained shows that the leading TSDB is InfluxDB.
关键词：Time Series database; Quantitative and qualitative attributes; Maturity models; Multi-attribute method; Time Series database comparison.