The University of Southampton
University of Southampton Institutional Repository

Managing large volumes of distributed scientific data

Managing large volumes of distributed scientific data
Managing large volumes of distributed scientific data
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.
File Object Model, Data management, database
1572-9814
339-348
Johnston, S.J.
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Fangohr, H.
5818d677-5732-4e8a-a342-7164dbb10df1
Cox, S.J.
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Johnston, S.J.
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Fangohr, H.
5818d677-5732-4e8a-a342-7164dbb10df1
Cox, S.J.
9b7cfab9-d5dc-45dc-947c-2eba5c81a160

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. (doi:10.1007/978-3-540-69389-5_39).

Record type: Article

Abstract

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.

Text
John_08.pdf - Accepted Manuscript
Download (196kB)

More information

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

Identifiers

Local EPrints ID: 43706
URI: http://eprints.soton.ac.uk/id/eprint/43706
ISSN: 1572-9814
PURE UUID: 3f42ddec-2218-42b8-8ff3-0a4fb3016b7b
ORCID for S.J. Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for H. Fangohr: ORCID iD orcid.org/0000-0002-4008-0098
ORCID for S.J. Cox: ORCID iD orcid.org/0000-0001-5494-7193

Catalogue record

Date deposited: 01 Feb 2007
Last modified: 16 Mar 2024 03:36

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×