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

0430252 - ÚFP 2015 RIV CH eng J - Journal Article
Urban, Jakub - Pipek, Jan - Hron, Martin - Janky, Filip - Papřok, Richard - Peterka, Matěj - Duarte, A.S.
Integrated Data Acquisition, Storage, Retrieval and Processing Using the COMPASS DataBase (CDB).
Fusion Engineering and Design. Roč. 89, č. 5 (2014), s. 712-716. ISSN 0920-3796. E-ISSN 1873-7196.
[Ninth IAEA TM on Control, Data Acquisition, and Remote Participation for Fusion Research. Hefei, 06.05.2013-10.05.2013]
R&D Projects: GA ČR GP13-38121P; GA ČR GAP205/11/2470; GA MŠMT(CZ) LM2011021
Institutional support: RVO:61389021
Keywords : tokamak * CODAC * database
Subject RIV: BL - Plasma and Gas Discharge Physics
Impact factor: 1.152, year: 2014
http://dx.doi.org/10.1016/j.fusengdes.2014.03.032

We 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.
Permanent Link: http://hdl.handle.net/11104/0235149