A SYSTEM ARCHITECTURE FOR THE BING - Brain Image Network Grid

Micael Pedrosa, Luís Alves, Ilídio C. Oliveira, José Maria Fernandes, João Paulo Silva Cunha

Abstract

This paper presents a detailed architecture model for the Brain Imaging Network Grid (BING) that will be the main IT infrastructure of the recently created Portuguese Brain Imaging Consortium. The proposed architecture follows a service oriented philosophy and is designed to empower medical data sharing and processing, specifically brain images. Allowing the use of computationally intensive methods like feature extraction and retrieving of structured information, this system will take advantage of Grid computing new paradigm. In BING context, Grid infrastructure is the right option to provide the ability to seamless aggregate distributed computational power, extensive storage resources and high-bandwidth networking. The goal is to develop a system that simultaneously can provide basic data services, allow collaborative research between geographically distributed partners (e.g. analysis processes, workflows) and make use of the Grid computational power.

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Paper Citation


in Harvard Style

Pedrosa M., Alves L., C. Oliveira I., Fernandes J. and Silva Cunha J. (2009). A SYSTEM ARCHITECTURE FOR THE BING - Brain Image Network Grid . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009) ISBN 978-989-8111-63-0, pages 276-281. DOI: 10.5220/0001549202760281


in Bibtex Style

@conference{healthinf09,
author={Micael Pedrosa and Luís Alves and Ilídio C. Oliveira and José Maria Fernandes and João Paulo Silva Cunha},
title={A SYSTEM ARCHITECTURE FOR THE BING - Brain Image Network Grid},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)},
year={2009},
pages={276-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001549202760281},
isbn={978-989-8111-63-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)
TI - A SYSTEM ARCHITECTURE FOR THE BING - Brain Image Network Grid
SN - 978-989-8111-63-0
AU - Pedrosa M.
AU - Alves L.
AU - C. Oliveira I.
AU - Fernandes J.
AU - Silva Cunha J.
PY - 2009
SP - 276
EP - 281
DO - 10.5220/0001549202760281