Neuro-fuzzy risk prediction model for computational grids
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099961" target="_blank" >RIV/61989100:27240/16:86099961 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86099961
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-29504-6_13" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-29504-6_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_13" target="_blank" >10.1007/978-3-319-29504-6_13</a>
Alternative languages
Result language
angličtina
Original language name
Neuro-fuzzy risk prediction model for computational grids
Original language description
Prediction of risk assessment is demanding because it is one of the most important contributory factors towards grid computing. Hence, researchers were motivated for developing and deploying grids on diverse computers, which is responsible for spreading resources across administrative domains so that resource sharing becomes effective. Risk assessment in grid computing can analyses possible risks, that is, the risk of growing computational requirements of an organization. Thus, risk assessment helps in determining these risks. In this, we present an adaptive neuro-fuzzy inference system that can provide an insight of predicting the risk environment. The main goal of this paper is to obtain empirical results with an illustration of high performance and accurate results. We used data mining tools to determine the contributing attributes so that we can obtain the risk prediction accurately.
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 427
ISBN
978-3-319-29503-9
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
127-136
Publisher name
Springer Verlag
Place of publication
London
Event location
Paříž
Event date
Sep 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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