Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects
Joint Authors
D’Agostino, Daniele
Clematis, Andrea
Quarati, Alfonso
Cesini, Daniele
Chiappori, Federica
Milanesi, Luciano
Merelli, Ivan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-09
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Cloud computing opens new perspectives for small-medium biotechnology laboratories that need to perform bioinformatics analysis in a flexible and effective way.
This seems particularly true for hybrid clouds that couple the scalability offered by general-purpose public clouds with the greater control and ad hoc customizations supplied by the private ones.
A hybrid cloud broker, acting as an intermediary between users and public providers, can support customers in the selection of the most suitable offers, optionally adding the provisioning of dedicated services with higher levels of quality.
This paper analyses some economic and practical aspects of exploiting cloud computing in a real research scenario for the in silico drug discovery in terms of requirements, costs, and computational load based on the number of expected users.
In particular, our work is aimed at supporting both the researchers and the cloud broker delivering an IaaS cloud infrastructure for biotechnology laboratories exposing different levels of nonfunctional requirements.
American Psychological Association (APA)
D’Agostino, Daniele& Clematis, Andrea& Quarati, Alfonso& Cesini, Daniele& Chiappori, Federica& Milanesi, Luciano…[et al.]. 2013. Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects. BioMed Research International،Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-1030101
Modern Language Association (MLA)
D’Agostino, Daniele…[et al.]. Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects. BioMed Research International No. 2013 (2013), pp.1-19.
https://search.emarefa.net/detail/BIM-1030101
American Medical Association (AMA)
D’Agostino, Daniele& Clematis, Andrea& Quarati, Alfonso& Cesini, Daniele& Chiappori, Federica& Milanesi, Luciano…[et al.]. Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-19.
https://search.emarefa.net/detail/BIM-1030101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030101