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Managing large volumes of distributed scientific data

Johnston, S.J., Fangohr, H. and Cox, S.J. (2008) Managing large volumes of distributed scientific data Lecture Notes in Computational Science, (5103), pp. 339-348. (doi:10.1007/978-3-540-69389-5_39).

Record type: Article


The ability to store large volumes of data is increasing faster than processing power. Some existing data management methods often result in data loss, inaccessibility or repetition of simulations. We propose a framework which promotes collaboration and simplifies data management.

We propose an implementation independent framework to promote collaboration and data management across a distributed environment. We discuss the framework features using a .NET Framework implementation and demonstrate the capabilities through a simple example.

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Submitted date: October 2006
Published date: 2008
Keywords: File Object Model, Data management, database


Local EPrints ID: 43706
ISSN: 1572-9814
PURE UUID: 3f42ddec-2218-42b8-8ff3-0a4fb3016b7b
ORCID for S.J. Johnston: ORCID iD

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Date deposited: 01 Feb 2007
Last modified: 17 Jul 2017 15:18

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