PERFORMANCE STUDY OF TIME SERIES DATABASES

 


PERFORMANCE STUDY OF TIME SERIES DATABASES

Bonil Shah, P. M. Jat and Kalyan Sasidhar DAIICT, Gandhinagar, India

ABSTRACT

The growth of big-data sectors such as the Internet of Things (IoT) generates enormous volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series Database (TSDB) popularity has grown alongside the rise of IoT. Time series databases are developed to manage and analyze huge amounts of time series data. However, it is not easy to choose the best one from them. The most popular benchmarks compare the performance of different databases to each other but use random or synthetic data that applies to only one domain. As a result, these benchmarks may not always accurately represent real-world performance. It is required to comprehensively compare the performance of time series databases with real datasets. The experiment shows significant performance differences for data injection time and query execution time when comparing real and synthetic datasets. The results are reported and analyzed.

KEYWORDS
 Timeseries database, benchmark, real-world application

Full Text: https://aircconline.com/ijdms/V14N5/14522ijdms01.pdf
Volume Text: https://airccse.org/journal/ijdms/current2022.html

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