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Integrated Data Acquisition, Storage, Retrieval and Processing Using the COMPASS DataBase (CDB)

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    SYSNO ASEP0430252
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleIntegrated Data Acquisition, Storage, Retrieval and Processing Using the COMPASS DataBase (CDB)
    Author(s) Urban, Jakub (UFP-V) RID
    Pipek, Jan (UFP-V) RID
    Hron, Martin (UFP-V) RID, ORCID
    Janky, Filip (UFP-V) RID
    Papřok, Richard (UFP-V) RID
    Peterka, Matěj (UFP-V) RID, ORCID
    Duarte, A.S. (PT)
    Source TitleFusion Engineering and Design. - : Elsevier - ISSN 0920-3796
    Roč. 89, č. 5 (2014), s. 712-716
    Number of pages5 s.
    Publication formPrint - P
    ActionNinth IAEA TM on Control, Data Acquisition, and Remote Participation for Fusion Research
    Event date06.05.2013-10.05.2013
    VEvent locationHefei
    CountryCN - China
    Event typeWRD
    Languageeng - English
    CountryCH - Switzerland
    Keywordstokamak ; CODAC ; database
    Subject RIVBL - Plasma and Gas Discharge Physics
    R&D ProjectsGP13-38121P GA ČR - Czech Science Foundation (CSF)
    GAP205/11/2470 GA ČR - Czech Science Foundation (CSF)
    LM2011021 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportUFP-V - RVO:61389021
    UT WOS000339133600043
    DOI10.1016/j.fusengdes.2014.03.032
    AnnotationWe present a complex data handling system for the COMPASS tokamak. The system, called CDB (COMPASS DataBase), integrates different data sources as anassortment of data acquisition hardware and software from different vendors is used. Based on widely available open source technologies wherever possible, CDB is vendor and platform independent andit can be easily scaled and distributed. The data is directly stored and retrieved using a standard NAS, hence independent of the particular technology; the description of the data(the metadata) is recorded in a relational database. Database structure is general and enables the inclusionof multi-dimensional data signals in multiple revisions (no data is overwritten). This design is inherently distributed as the work is off-loaded to the clients. CDB is implemented in Python language; bindings for Java, C/C++, IDL and Matlab are provided. An automated data post-processingserver is a part of CDB.
    WorkplaceInstitute of Plasma Physics
    ContactVladimíra Kebza, kebza@ipp.cas.cz, Tel.: 266 052 975
    Year of Publishing2015
    Electronic addresshttp://dx.doi.org/10.1016/j.fusengdes.2014.03.032
Number of the records: 1  

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