The explosion of IoT devices and sensors in recent years has led to a
demand for efficiently storing, processing and analyzing time-series data.
Geoscience researchers use time-series data stores such as Hydroserver,
VOEIS and CHORDS. Many of these tools require a great deal of
infrastructure to deploy and expertise to manage and scale. Tapis's
(formerly known as Agave) platform as a service provides a way to support
researchers in a way that they are not responsible for the infrastructure
and can focus on the science. The University of Hawai‘i (UH) and Texas
Advanced Computing Center (TACC) have collaborated to develop a new API
integration that combines Tapis with the CHORDS time series data service to
support projects at both institutions for storing, annotating and querying
time-series data. This new Streams API leverages the strengths of both the
Tapis platform and CHORDS service to enable capabilities for supporting
time-series data streams not available in either tool alone. These new
capabilities may be leveraged by Tapis powered science gateways with needs
for handling spatially indexed time-series data-sets for their researchers
as they have been at UH and TACC.
