http://www.cnr.it/ontology/cnr/individuo/prodotto/ID266099
Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects (Articolo in rivista)
- Type
- Label
- Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1155/2013/138012 (literal)
- Alternative label
Daniele D'Agostino, Andrea Clematis, Alfonso Quarati, Daniele Cesini, Federica Chiappori, Luciano Milanesi, and Ivan Merelli (2013)
Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects
in BioMed Research International; Hindawi Publishing Corporation, New York (Stati Uniti d'America)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Daniele D'Agostino, Andrea Clematis, Alfonso Quarati, Daniele Cesini, Federica Chiappori, Luciano Milanesi, and Ivan Merelli (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- available online 2013/9/10 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Google Scholar (literal)
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Institute of Applied Mathematics and Information Technologies, National Research Council of Italy, via de Marini 6, 16149 Genoa, Italy
Istituto Nazionale di Fisica Nucleare, Italian Grid Infrastructure, via Ranzani 13/2, 40127 Bologna, Italy
Institute of Biomedical Technologies, National Research Council of Italy, via F.lli Cervi 93, 20090 Segrate (Mi), Italy (literal)
- Titolo
- Cloud Infrastructures for In Silico Drug Discovery: Economic and Practical Aspects (literal)
- Abstract
- 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 generalpurpose
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. (literal)
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