An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099959" target="_blank" >RIV/61989100:27240/16:86099959 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86099959
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-27400-3_3" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-27400-3_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-27400-3_3" target="_blank" >10.1007/978-3-319-27400-3_3</a>
Alternative languages
Result language
angličtina
Original language name
An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment
Original language description
Cloud computing is one of the hottest technologies in IT field. It provides computational resources as general utilities that can be leased and released by users in an on-demand fashion. Companies around the globe are showing high interest in adopting cloud computing technology but cloud computing adaptation comes with greater risks that need to be assessed. In this research, an ensemble of adaptive neuro-fuzzy inference system (ANFIS) is proposed to assess risk factors in cloud computing environment. In the proposed framework, various membership functions were used to construct ANFIS model and finally, an ensemble of ANFIS models was constructed using an evolutionary algorithm. Empirical results indicate a high performance of the proposed models for assessing risk in the cloud environment. (C) Springer International Publishing Switzerland 2016.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 419
ISBN
978-3-319-27399-0
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
27-36
Publisher name
Springer Verlag
Place of publication
London
Event location
Pietermaritzburg
Event date
Dec 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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