Cloud computing solution for investment efficiency measurement in biomedicine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013689" target="_blank" >RIV/62690094:18450/17:50013689 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-67380-6_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-67380-6_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67380-6_8" target="_blank" >10.1007/978-3-319-67380-6_8</a>
Alternative languages
Result language
angličtina
Original language name
Cloud computing solution for investment efficiency measurement in biomedicine
Original language description
Cloud computing is being widely adopted in various scientific areas, solutions and applications not including the biomedical research. This scientific area is characterized by the need of large amounts of data processing and these requirements are ensured by the cloud computing solutions. Cloud computing might bring many benefits, such as cost savings, elasticity and scalability of using ICT. On the other hand, the implementation might be inefficient and cost intensive. The measurement of cloud computing benefits and its efficiency is considered to be one of the crucial point for successful implementation of new systems or applications. The goal of this paper is to present specialized application for cloud computing investment efficiency with a respect to specificities of biomedical research area
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2017, ruSMART 2017, NsCC 2017. Lecture Notes in Computer Science
ISBN
978-3-319-67379-0
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
87-96
Publisher name
Springer
Place of publication
Cham
Event location
Petersburg, Russia
Event date
Aug 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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