Cloud Storage and Bioinformatics in a private cloud deployment: Lessons for Data Intensive research
Cloud Storage and Bioinformatics in a private cloud deployment: Lessons for Data Intensive research
This paper describes service portability for a private cloud deployment, including a detailed case study about Cloud Storage and bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). Our Cloud Storage design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture and user support. Experiments for data services (backup automation, data recovery and data migration) are performed and results confirm backup automation is completed swiftly and is reliable for data-intensive research. The data recovery result confirms that execution time is in proportion to quantity of recovered data, but the failure rate increases in an exponential manner. The data migration result confirms execution time is in proportion to disk volume of migrated data, but again the failure rate increases in an exponential manner. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules and simulations for medical training. Our Cloud Storage solution described here offers cost reduction, time-saving and user friendliness.
Chang, Victor
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Walters, Robert John
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Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
15 September 2013
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Chang, Victor, Walters, Robert John and Wills, Gary
(2013)
Cloud Storage and Bioinformatics in a private cloud deployment: Lessons for Data Intensive research.
In,
Cloud Computing and Service Science.
Springer Cham.
(doi:10.1007/978-3-319-04519-1_16).
Record type:
Book Section
Abstract
This paper describes service portability for a private cloud deployment, including a detailed case study about Cloud Storage and bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). Our Cloud Storage design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture and user support. Experiments for data services (backup automation, data recovery and data migration) are performed and results confirm backup automation is completed swiftly and is reliable for data-intensive research. The data recovery result confirms that execution time is in proportion to quantity of recovered data, but the failure rate increases in an exponential manner. The data migration result confirms execution time is in proportion to disk volume of migrated data, but again the failure rate increases in an exponential manner. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules and simulations for medical training. Our Cloud Storage solution described here offers cost reduction, time-saving and user friendliness.
Text
VC_Health_Cloud_Storage_final.pdf
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More information
Accepted/In Press date: May 2013
Published date: 15 September 2013
Organisations:
Electronics & Computer Science, Electronic & Software Systems
Identifiers
Local EPrints ID: 349396
URI: http://eprints.soton.ac.uk/id/eprint/349396
PURE UUID: 4fe0217f-91e7-4608-842e-3035b2443ec2
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Date deposited: 01 Mar 2013 22:10
Last modified: 15 Mar 2024 02:51
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Contributors
Author:
Victor Chang
Author:
Robert John Walters
Author:
Gary Wills
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