Modelling Risk Assessment in Computational Grid
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. 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 a 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 generic grid environment. We utilized data mining tools to pick the contributing attributes that improve the quality of the ri…
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Produktdetails
Weitere Autoren: Abraham, Ajith
- ISBN: 978-3-330-32776-4
- EAN: 9783330327764
- Produktnummer: 37491566
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 160 S.
- Masse: H22.0 cm x B15.0 cm x D1.0 cm 256 g
- Abbildungen: Paperback
- Gewicht: 256
Über den Autor
Dr. Sara Abdelwahab works in the field of risk assessment and grid computing using different machine learning approaches. Dr. Ajith Abraham works in the field of machine intelligence and is the current director of Machine Intelligence Research Labs (MIR Labs).
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