Data mining approach for modeling risk assessment in computational grid
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097028" target="_blank" >RIV/61989100:27240/15:86097028 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-81-322-2202-6_61" target="_blank" >http://dx.doi.org/10.1007/978-81-322-2202-6_61</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-81-322-2202-6_61" target="_blank" >10.1007/978-81-322-2202-6_61</a>
Alternative languages
Result language
angličtina
Original language name
Data mining approach for modeling risk assessment in computational grid
Original language description
Assessing Risk in a computational grid environment is an essential need for a user who runs applications from a remote machine on the grid, where resource sharing is the main concern. As Grid computing is the ultimate solution believed to meet the ever-expanding computational needs of organizations, analysis of the various possible risks to evaluate and develop solutions to resolve these risks is needed. For correctly predicting the risk environment, we made a comparative analysis of various machine learning modeling methods on a dataset of risk factors. First we conducted an online survey with international experts about the various risk factors associated with grid computing. Second we assigned numerical ranges to each risk factor based on a genericgrid environment. We utilized data mining tools to pick the contributing attributes that improve the quality of the risk assessment prediction process. The empirical results illustrate that the proposed framework is able to provide risk a
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Smart Innovation, Systems and Technologies. Volume 33
ISBN
978-81-322-2201-9
ISSN
2190-3018
e-ISSN
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Number of pages
12
Pages from-to
673-684
Publisher name
Springer
Place of publication
New Delhi
Event location
Sambalpur
Event date
Dec 20, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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