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Game Theory Based Trust Model for Cloud Environment

The aim of this work is to propose a method to establish trust at bootload level in cloud computing environment. This work proposes a game theoretic based approach for achieving trust at bootload level of both resources and users perception. Nash equilibrium (NE) enhances the trust evaluation of the...

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Detalles Bibliográficos
Autores principales: Gokulnath, K., Uthariaraj, Rhymend
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562172/
https://www.ncbi.nlm.nih.gov/pubmed/26380365
http://dx.doi.org/10.1155/2015/709827
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author Gokulnath, K.
Uthariaraj, Rhymend
author_facet Gokulnath, K.
Uthariaraj, Rhymend
author_sort Gokulnath, K.
collection PubMed
description The aim of this work is to propose a method to establish trust at bootload level in cloud computing environment. This work proposes a game theoretic based approach for achieving trust at bootload level of both resources and users perception. Nash equilibrium (NE) enhances the trust evaluation of the first-time users and providers. It also restricts the service providers and the users to violate service level agreement (SLA). Significantly, the problem of cold start and whitewashing issues are addressed by the proposed method. In addition appropriate mapping of cloud user's application to cloud service provider for segregating trust level is achieved as a part of mapping. Thus, time complexity and space complexity are handled efficiently. Experiments were carried out to compare and contrast the performance of the conventional methods and the proposed method. Several metrics like execution time, accuracy, error identification, and undecidability of the resources were considered.
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spelling pubmed-45621722015-09-15 Game Theory Based Trust Model for Cloud Environment Gokulnath, K. Uthariaraj, Rhymend ScientificWorldJournal Research Article The aim of this work is to propose a method to establish trust at bootload level in cloud computing environment. This work proposes a game theoretic based approach for achieving trust at bootload level of both resources and users perception. Nash equilibrium (NE) enhances the trust evaluation of the first-time users and providers. It also restricts the service providers and the users to violate service level agreement (SLA). Significantly, the problem of cold start and whitewashing issues are addressed by the proposed method. In addition appropriate mapping of cloud user's application to cloud service provider for segregating trust level is achieved as a part of mapping. Thus, time complexity and space complexity are handled efficiently. Experiments were carried out to compare and contrast the performance of the conventional methods and the proposed method. Several metrics like execution time, accuracy, error identification, and undecidability of the resources were considered. Hindawi Publishing Corporation 2015 2015-08-25 /pmc/articles/PMC4562172/ /pubmed/26380365 http://dx.doi.org/10.1155/2015/709827 Text en Copyright © 2015 K. Gokulnath and R. Uthariaraj. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gokulnath, K.
Uthariaraj, Rhymend
Game Theory Based Trust Model for Cloud Environment
title Game Theory Based Trust Model for Cloud Environment
title_full Game Theory Based Trust Model for Cloud Environment
title_fullStr Game Theory Based Trust Model for Cloud Environment
title_full_unstemmed Game Theory Based Trust Model for Cloud Environment
title_short Game Theory Based Trust Model for Cloud Environment
title_sort game theory based trust model for cloud environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562172/
https://www.ncbi.nlm.nih.gov/pubmed/26380365
http://dx.doi.org/10.1155/2015/709827
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