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• W2897721460 abstract "A computational grid needs to be cost-effective and highly reliable. It must have the ability to transfer maximum amount of data for end-to-end delivery. Many research works on computational grids conclude with a binary state of operation. Although some research reveals that, the grids operate with multiple states of connections and operations, they are silent about the mentioned constraints. Since there are multi-state operations, the reliability depends on the load, bandwidth and cost. This paper proposes a Genetic Algorithm (GA) based approach for optimization of reliability of computational grid with desired reliability under cost and bandwidth constraints. The method is well explained through illustration and its implementation on some Grid networks. The efficient encoding, cross-over, mutation and selection operation of the proposed scheme ensures the fast convergence to the optimal solution. On comparison, the proposed method is observed to be more efficient than the existing ones." @default.
• W2897721460 created "2018-10-26" @default.
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• W2897721460 date "2022-02-01" @default.
• W2897721460 modified "2023-10-14" @default.
• W2897721460 title "A Genetic Algorithm based approach for designing multi-state computational grid with cost and bandwidth constraints" @default.
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• W2897721460 doi "https://doi.org/10.1016/j.jksuci.2018.10.006" @default.
• W2897721460 hasPublicationYear "2022" @default.
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