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).


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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
Digital Object Identifier (DOI): doi:10.1007/978-3-540-69389-5_39
ISSNs: 1572-9814 (print)
Related URLs:
Keywords: File Object Model, Data management, database
ePrint ID: 43706
Date :
Date Event
October 2006Submitted
Date Deposited: 01 Feb 2007
Last Modified: 16 Apr 2017 18:48
Further Information:Google Scholar

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