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Advancing Research Infrastructure Using OpenStack

Kureshi, I.; Pulley, C.; Brennan, J.; Holmes, V.; Bonner, S.; James, J.

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Authors

I. Kureshi

C. Pulley

J. Brennan

V. Holmes

S. Bonner

J. James



Abstract

Cloud computing, which evolved from grid computing, virtualisation and automation, has a potential to deliver a variety of services to the end user via the Internet. Using the Web to deliver Infrastructure, Software and Platform as a Service (SaaS/PaaS) has benefits of reducing the cost of investment in internal resources of an organisation. It also provides greater flexibility and scalability in the utilisation of the resources. There are different cloud deployment models - public, private, community and hybrid clouds. This paper presents the results of research and development work in deploying a private cloud using OpenStack at the University of Huddersfield, UK, integrated into the University campus Grid QGG. The aim of our research is to use a private cloud to improve the High Performance Computing (HPC) research infrastructure. This will lead to a flexible and scalable resource for research, teaching and assessment. As a result of our work we have deployed private QGG-cloud and devised a decision matrix and mechanisms required to expand HPC clusters into the cloud maximising the resource utilisation efficiency of the cloud. As part of teaching and assessment of computing courses an Automated Formative Assessment (AFA) system was implemented in the QGG-Cloud. The system utilises the cloud’s flexibility and scalability to assign and reconfigure required resources for different tasks in the AFA. Furthermore, the throughput characteristics of assessment workflows were investigated and analysed so that the requirements for cloud-based provisioning can be adequately made.

Citation

Kureshi, I., Pulley, C., Brennan, J., Holmes, V., Bonner, S., & James, J. (2013). Advancing Research Infrastructure Using OpenStack. International Journal of Advanced Computer Science and Applications, 3(4), 63-69. https://doi.org/10.14569/specialissue.2013.030408

Journal Article Type Article
Publication Date Jan 1, 2013
Deposit Date May 15, 2015
Publicly Available Date Mar 29, 2024
Journal International Journal of Advanced Computer Science and Applications
Print ISSN 2158-107X
Electronic ISSN 2156-5570
Publisher SAI Organization
Peer Reviewed Peer Reviewed
Volume 3
Issue 4
Pages 63-69
DOI https://doi.org/10.14569/specialissue.2013.030408

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.




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