Energy-aware stochastic scheduler for batch of precedence-constrained jobs on heterogeneous computing system
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DOI: 10.1016/j.energy.2017.02.069
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- Charles E. Clark, 1961. "The Greatest of a Finite Set of Random Variables," Operations Research, INFORMS, vol. 9(2), pages 145-162, April.
- Esmaeili, Mobin & Sedighizadeh, Mostafa & Esmaili, Masoud, 2016. "Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty," Energy, Elsevier, vol. 103(C), pages 86-99.
- Fouda, M.E. & Elwakil, A.S. & Radwan, A.G. & Allagui, A., 2016. "Power and energy analysis of fractional-order electrical energy storage devices," Energy, Elsevier, vol. 111(C), pages 785-792.
- Rusin, Andrzej & Wojaczek, Adam, 2015. "Trends of changes in the power generation system structure and their impact on the system reliability," Energy, Elsevier, vol. 92(P1), pages 128-134.
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- Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
- Hormozi, Elham & Hu, Shuwen & Ding, Zhe & Tian, Yu-Chu & Wang, You-Gan & Yu, Zu-Guo & Zhang, Weizhe, 2022. "Energy-efficient virtual machine placement in data centres via an accelerated Genetic Algorithm with improved fitness computation," Energy, Elsevier, vol. 252(C).
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Keywords
Heterogeneous computing system; Stochastic scheduling; Dynamic Voltage and Frequency Scaling; Precedence-constrained jobs; Multi-objective optimization; Energy; Turnaround time;All these keywords.
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