The Distributed Cloud Based Engine for Knowledge Discovery in Massive Archives of Astronomical Spectra

0497339 - ASÚ 2019 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Škoda, Petr - Koza, J. - Palička, A. - Lopatovský, L. - Peterka, T.
The Distributed Cloud Based Engine for Knowledge Discovery in Massive Archives of Astronomical Spectra.
Astronomical Data Analysis Software and Systems XXV. San Francisco: Astronomical Society of the Pacific, 2017 - (Nuria, P.), s. 689-692. ASP Conference Series, 512. ISBN 9781583819081.
[Astronomical Data Analysis Software and Systems /25./. Sydney (AU), 25.10.2015-29.10.2015]
Grant CEP: GA ČR GA13-08195S
Institucionální podpora: RVO:67985815
Klíčová slova: archive * astronomical spectra
Obor OECD: Astronomy (including astrophysics,space science)

We present VO-CLOUD, the distributed cloud-based engine, providing the user with a comfortable web-based environment for conducting machine learning experiments with different algorithms running on multiple nodes. It allows visual backtracking of the individual input spectra at different stages of preprocessing, which is important for checking the nature of outliers or precision of classification. The engine consists of a single master server, representing the user portal, and several workers, running various types of machine learning tasks. The master holds the database of users and their experiments, predefined configuration parameters for individual machine learning models and a repository for data to be preprocessed. The workers have different capabilities based on the installed libraries and the hardware configuration of their host (e.g. number of CPU cores or GPU card type) and more may be dynamically added to provide new machine learning methods.
Trvalý link: http://hdl.handle.net/11104/0289903