Smart objects are increasingly widespread and their ecosystem, also known as the Internet
of Things (IoT), is relevant in many application scenarios. The huge amount of temporally …

Time series are widely used to record information in applications developed with Internet of
Things (IoT) devices, where sensors are used to collect large amounts of data. These …

Not only the vast applications but also the distinct features of time series data stimulate the
booming growth of time series database management systems, such as Apache IoTDB …

Abstract The Internet of things (IoT) is an omnipresent system that can be accessed from a
long distance, linking a variety of devices (things), including wireless sensor networks …

The sharply growing volume of time series data due to recent sensing technology
advancement poses emerging challenges to the data transfer speed and storage as well as …

Time series databases are essential for the large-scale deployment of many critical
industrial applications. In infrastructure monitoring, for instance, a database system should …

The matrix profile is an effective data mining tool that provides similarity join functionality for
time series data. Since the introduction of the matrix profile five years ago, multiple efforts …

Modern data analytics applications prefer to use column-storage formats due to their
improved storage efficiency through encoding and compression. Parquet is the most popular …

In this paper, lossless time-series data compression scheme with bit-back asymmetric
numeral systems (BB-ANS) is proposed for massive smart meter environment. As smart …

A large amount of time series is produced because of the frequent use of IoT devices and
sensors. Time series compression is widely adopted to reduce storage overhead and …