Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Characterizing users based on their requirements and forming groups among providers accordingly to deliver them the stronger quality of service is a challenge for federated grid community. Federated grid computing allows providers to behave cooperatively to ensure required utility by users. Grouping grid providers under such an environment thus enhance the possibility of more jobs executed whereas a single provider or organization might not be able to do the same. In this paper, we propose an agent-based iterative Contract Net Protocol which supports in building federated grid via negotiating distributed providers. The main focus of this paper is to minimize the number of iterations using a grouping mechanism. Minimizing the number of iterations would produce less communication overhead which results in the minimum queue waiting time for users to publish their jobs. Simulation results further ensure the feasibility of our approach in terms of profit and resource utilization compared to that of the traditional non-grouped market.
md._tanvir_rahman. 2018. \u201cAn Agent-based Grouping Strategy for Federated Grid Computing\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 18 (GJCST Volume 18 Issue E1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Unknown
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Aminul Haque, Md. Tanvir Rahman (PhD/Dr. count: 0)
View Count (all-time): 264
Total Views (Real + Logic): 6134
Total Downloads (simulated): 1627
Publish Date: 2018 04, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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Characterizing users based on their requirements and forming groups among providers accordingly to deliver them the stronger quality of service is a challenge for federated grid community. Federated grid computing allows providers to behave cooperatively to ensure required utility by users. Grouping grid providers under such an environment thus enhance the possibility of more jobs executed whereas a single provider or organization might not be able to do the same. In this paper, we propose an agent-based iterative Contract Net Protocol which supports in building federated grid via negotiating distributed providers. The main focus of this paper is to minimize the number of iterations using a grouping mechanism. Minimizing the number of iterations would produce less communication overhead which results in the minimum queue waiting time for users to publish their jobs. Simulation results further ensure the feasibility of our approach in terms of profit and resource utilization compared to that of the traditional non-grouped market.
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