A survey of approaches and frameworks to carry out genomic data analysis on the cloud

Church,PC and Goscinski,A 2014, A survey of approaches and frameworks to carry out genomic data analysis on the cloud, in Proceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014, IEEE, Piscataway, N.J., pp. 701-710, doi: 10.1109/CCGrid.2014.127.

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Title A survey of approaches and frameworks to carry out genomic data analysis on the cloud
Author(s) Church,PC
Goscinski,A
Conference name IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (14th : 2014 : Chicago, USA)
Conference location Chicago, USA
Conference dates 26-28 May. 2014
Title of proceedings Proceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014
Editor(s) [Unknown]
Publication date 2014
Conference series IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing
Start page 701
End page 710
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Bio-informatics
HPC
Software as a Service
Summary High Performance Computing (HPC) clouds have started to change the way how research in science, in particular medicine and genomics (bioinformatics) is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. However, most HPC clouds are provided at an Infrastructure as a Service (IaaS) level, users are presented with a set of virtual servers which need to be put together to form HPC environments via time consuming resource management and software configuration tasks, which make them practically unusable by discipline, non-computing specialists. In response, there is a new trend to expose cloud applications as services to simplify access and execution on clouds. This paper firstly examines commonly used cloud-based genomic analysis services (Tuxedo Suite, Galaxy and Cloud Bio Linux). As a follow up, we propose two new solutions (HPCaaS and Uncinus), which aim to automate aspects of the service development and deployment process. By comparing and contrasting these five solutions, we identify key mechanisms of service creation, execution and access that are required to support genomic research on the SaaS cloud, in particular by discipline specialists. © 2014 IEEE.
ISBN 9781479927838
Language eng
DOI 10.1109/CCGrid.2014.127
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070437

Document type: Conference Paper
Collection: School of Information Technology
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