Search Results - (( exploring commitment optimization algorithm ) OR ( java data replication algorithm ))*

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  1. 1
    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The motivation of implementation is to make sure the data replication is easy to maintain and cost effective. …”
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    Thesis
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  2. 2
    A cluster-based hybrid replica control protocol for high availability in data grid

    A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

    Published 2019
    “…In Data Grid, data replication is a widely used technique for managing data, where exact copies of data or replicas are created and stored at many distributed sites. …”
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  3. 3
    Ant lion optimizer for solving unit commitment with solar photovoltaic integration / Izni Nadhirah Sam’on

    Ant lion optimizer for solving unit commitment with solar photovoltaic integration / Izni Nadhirah Sam’on by Sam’on, Izni Nadhirah

    Published 2020
    “…A new technique of Ant Lion Optimizer (ALO) is proposed to solve the unit commitment problem. …”
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  4. 4
    Optimal Unit Commitment for Minimizing Total Operating Cost using Ant Lion Optimizer

    Optimal Unit Commitment for Minimizing Total Operating Cost using Ant Lion Optimizer by Yasin Z.M., Sam'On I.N., Salim N.A., Ab Aziz N.F., Zakaria Z.

    Published 2023
    Conference Paper
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  5. 5
    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam

    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

    Published 2023
    “…However, due to the drawbacks of the conventional algorithm as well as the heuristic algorithms handling complicated and multi-objective reservoir optimisation, the advantages of the strategy of simultaneous exploration and exploitation led to the decision to utilise meta-heuristic algorithms in this study. …”
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