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), 339-348.


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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.

Item Type: Article
ISSNs: 1572-9814 (print)
Related URLs:
Keywords: File Object Model, Data management, database
Subjects: Q Science > Q Science (General)
Divisions : University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design
ePrint ID: 43706
Accepted Date and Publication Date:
October 2006Submitted
Date Deposited: 01 Feb 2007
Last Modified: 31 Mar 2016 12:17

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