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Towards a grid-enabled biomolecular simulation database

Towards a grid-enabled biomolecular simulation database
Towards a grid-enabled biomolecular simulation database
The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enterprise database, Oracle 10g. We describe the implementation details: architecure, data distribution, security, and implemented analysis modules. We outline two examples, among many more, where BioSimGrid is a necessary tool.
1904425534
4pp
Engineering and Physical Sciences Research Council
Wu, Bing
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Tai, Kaihsu
363c10d0-8583-4bea-bc0f-5be75142e5de
Ng, Muan Hong
6cdc5c67-aaa2-4153-b64c-3491ad848fce
Johnston, Steven
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Murdock, Stuart
352e1d8a-2d79-4bc0-a47c-025715bec117
Fangohr, Hans
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Sansom, Mark S.P.
ed30b4fc-bc73-4ad7-8c56-f51a67136e4e
Essex, Jonathan
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Jeffreys, Paul
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Cox, Simon
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Wu, Bing
68da5cb1-6a5f-46f9-8173-12d702625220
Tai, Kaihsu
363c10d0-8583-4bea-bc0f-5be75142e5de
Ng, Muan Hong
6cdc5c67-aaa2-4153-b64c-3491ad848fce
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Murdock, Stuart
352e1d8a-2d79-4bc0-a47c-025715bec117
Fangohr, Hans
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Sansom, Mark S.P.
ed30b4fc-bc73-4ad7-8c56-f51a67136e4e
Essex, Jonathan
1f409cfe-6ba4-42e2-a0ab-a931826314b5
Jeffreys, Paul
a2376cab-ac2a-4905-8bc3-91993d8cd728
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55

Wu, Bing, Tai, Kaihsu, Ng, Muan Hong, Johnston, Steven, Murdock, Stuart, Fangohr, Hans, Sansom, Mark S.P., Essex, Jonathan, Jeffreys, Paul and Cox, Simon (2005) Towards a grid-enabled biomolecular simulation database. In Proceedings of the UK e-Science All Hands Meeting 2005. Engineering and Physical Sciences Research Council. 4pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enterprise database, Oracle 10g. We describe the implementation details: architecure, data distribution, security, and implemented analysis modules. We outline two examples, among many more, where BioSimGrid is a necessary tool.

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Wu_05pp.pdf - Accepted Manuscript
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More information

Published date: 2005
Venue - Dates: the UK e-Science All Hands Meeting 2005, United Kingdom, 2005-09-19 - 2005-09-22

Identifiers

Local EPrints ID: 41989
URI: https://eprints.soton.ac.uk/id/eprint/41989
ISBN: 1904425534
PURE UUID: dfe5eac9-e4bd-4f0a-abe2-62d2bab46bf7
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Jonathan Essex: ORCID iD orcid.org/0000-0003-2639-2746

Catalogue record

Date deposited: 26 Oct 2006
Last modified: 14 Mar 2019 01:52

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Contributors

Author: Bing Wu
Author: Kaihsu Tai
Author: Muan Hong Ng
Author: Steven Johnston ORCID iD
Author: Stuart Murdock
Author: Hans Fangohr
Author: Mark S.P. Sansom
Author: Jonathan Essex ORCID iD
Author: Paul Jeffreys
Author: Simon Cox

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