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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-56957-8
Abstract: Grid computing emerged as a powerful computing domain for running large-scale parallel applications. Scheduling computationally intensive parallel applications such as scientific, commercial etc., computational grids is a NP-complete problem. Many researchers have proposed several task…
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Keywords:
task;
multi objective;
scheduling framework;
task scheduling ... See more keywords
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Published in 2025 at "International Journal of Production Research"
DOI: 10.1080/00207543.2024.2449240
Abstract: Heterogeneity among factories in distributed manufacturing significantly expands the solution space, complicating optimisation. Traditional centralised scheduling methods lack the scalability to adapt to varying factory scales. This paper proposes an end-to-end decentralised scheduling framework based…
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Keywords:
scheduling framework;
end;
end end;
decentralised scheduling ... See more keywords
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Published in 2017 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2016.2617314
Abstract: The randomness of user behaviors plays a significant role in electric vehicle (EV) scheduling problems, especially when the power supply for EV supply equipment (EVSE) is limited. Existing EV scheduling methods do not consider this…
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Keywords:
kernel based;
framework electric;
framework;
predictive scheduling ... See more keywords
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Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2021.3068004
Abstract: Increased electrification in the residential and transport sectors is changing the energy demand profiles significantly, which results in reshaped peak demand. These changes in demand profiles can cause grid overloading and jeopardize network reliability especially…
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Keywords:
scheduling framework;
peak demand;
demand;
framework peak ... See more keywords
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Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3516131
Abstract: In logistics systems with multiagent collaboration, one of the prevailing focus lies on modeling as the dynamic multiperiod vehicle routing problem (DMPVRP). This work introduces modifications to DMPVRP to align with the requirements of real…
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Keywords:
supply demands;
scheduling framework;
real time;
dynamic supply ... See more keywords
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Published in 2025 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2025.3599113
Abstract: This study presents a task affinity scheduling framework that leverages multidimensional resource fingerprints to optimize resource management in cloud computing. The framework evaluates task affinity through complementarity and competitiveness analyses by constructing dynamic fingerprints from…
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Keywords:
task affinity;
resource;
scheduling framework;
affinity scheduling ... See more keywords