The Distributed Cloud Based Engine for Knowledge Discovery in Massive Archives of Astronomical Spectra
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F17%3A00497339" target="_blank" >RIV/67985815:_____/17:00497339 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/17:00328879
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Distributed Cloud Based Engine for Knowledge Discovery in Massive Archives of Astronomical Spectra
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Astronomical Data Analysis Software and Systems XXV
ISBN
9781583819081
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
689-692
Publisher name
Astronomical Society of the Pacific
Place of publication
San Francisco
Event location
Sydney
Event date
Oct 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000442046200152