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Managing large volumes of distributed scientific data

By S.J. Johnston, H. Fangohr and S.J. Cox


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.<br/><br/>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

Topics: Q1
Year: 2008
OAI identifier:
Provided by: e-Prints Soton

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