Ensemble of flexible neural trees for predicting risk in grid 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%3A86099958" target="_blank" >RIV/61989100:27240/16:86099958 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86099958
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-28031-8_13" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-28031-8_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-28031-8_13" target="_blank" >10.1007/978-3-319-28031-8_13</a>
Alternative languages
Result language
angličtina
Original language name
Ensemble of flexible neural trees for predicting risk in grid computing environment
Original language description
Risk assessment in grid computing is an important issue as grid is a shared environment with diverse resources spread across several administrative domains. Therefore, by assessing risk in grid computing, we can analyze possible risks for the growing consumption of computational resources of an organization and thus we can improve the organization's computation effectiveness. In this paper, we used a function approximation tool, namely, flexible neural tree for risk prediction and risk (factors) identification. Flexible neural tree is a feed forward neural network model, where network architecture was evolved like a tree. Our comprehensive experiment finds score for each risk factor in grid computing together with a general tree-based model for predicting risk. We used an ensemble of prediction models to achieve generalization. (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 424
ISBN
978-3-319-28030-1
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
151-161
Publisher name
Springer Verlag
Place of publication
London
Event location
Kochi
Event date
Dec 16, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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