An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27740/16:86099959

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 419

ISBN

978-3-319-27399-0

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

10

Strana od-do

27-36

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Pietermaritzburg

Datum konání akce

1. 12. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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