Modelling Risk Assessment in Computational Grid - Softcover

Abdelwahab, Sara; Abraham, Ajith

Softcover

ISBN 10: 3330327766 ISBN 13: 9783330327764

Verlag: LAP LAMBERT Academic Publishing, 2017

Inhaltsangabe

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 risk assessment prediction process. Finally, we modeled the prediction process of risk assessment in grid computing utilizing Meta learning approaches in order to improve the performance of the individual predictive models. We concluded that data mining tools can provide further steps in building a risk assessment model in a Grid environment with good accuracy, according to the obtained empirical results.

Über diesen Titel

Über die Autorin bzw. 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).

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 3330327766
• ISBN 13: 9783330327764
• Einband: Taschenbuch
• Anzahl der Seiten: 160
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Betascript Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland