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Large Scale Data Repository: Design of a Molecular Dynamics Trajectory Database
KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC. (Parallelldatorcentrum)
1999 (English)In: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115, Vol. 16, no 1, 101-110 p.Article in journal (Refereed) Published
Abstract [en]

The design of a molecular dynamics trajectory database is presented as an example of the organization of large-scale dynamic distributed repositories for scientific data. Large scientific datasets are usually interpreted through reduced data calculated by analysis functions. This allows a database architecture in which the analyzed datasets, that are kept in addition to the raw datasets, are transferred to a database user. A flexible user interface with a well defined Application Program Interface (API) allows for a wide array of analysis functions and the incorporation of user defined functions is a critical part of the database design. An analysis function is executed only when the requested analysis result is not available from an earlier request. A prototype implementation used to gain initial practical experiences with performance and scalability is presented.

Place, publisher, year, edition, pages
Elsevier, 1999. Vol. 16, no 1, 101-110 p.
Keyword [en]
distributed database; scientific data archive; data analysis
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-90974DOI: 10.1016/S0167-739X(99)00039-4OAI: oai:DiVA.org:kth-90974DiVA: diva2:507622
Note
NR 20140805Available from: 2012-03-05 Created: 2012-03-05 Last updated: 2017-12-07Bibliographically approved

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