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   Articles with "intelligent scheduling" as a keyword



Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop

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recommendations! Published in 2020 at "Journal of Manufacturing Systems"

DOI: 10.1016/j.jmsy.2020.07.016

Abstract: Abstract Modern manufacturing enterprises are shifting toward multi-variety and small-batch production. By optimizing scheduling, both transit and waiting times within the production process can be shortened. This study integrates the advantages of a digital twin… read more here.

Keywords: workshop; feature; digital twin; process ... See more keywords

Interference-Aware Intelligent Scheduling for Virtualized Private 5G Networks

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3350513

Abstract: Private Fifth Generation (5G) Networks can quickly scale coverage and capacity for diverse industry verticals by using the standardized 3rd Generation Partnership Project (3GPP) and Open Radio Access Network (O-RAN) interfaces that enable disaggregation, network… read more here.

Keywords: intelligent scheduling; aware intelligent; interference aware; scheduling virtualized ... See more keywords

CSCR: A Cross-View Intelligent Scheduling Method Implemented via Cloud Computing Workflow Reduction

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recommendations! Published in 2025 at "IEEE Transactions on Cloud Computing"

DOI: 10.1109/tcc.2025.3591549

Abstract: The surge in the development of artificial intelligence has led to increases in the complexity of computational tasks and the resource demands within cloud computing scenarios. Therefore, intelligent scheduling methods have formed a crucial research… read more here.

Keywords: intelligent scheduling; reduction; workflow reduction; cross view ... See more keywords

Multi-Job Intelligent Scheduling With Cross-Device Federated Learning

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recommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2022.3224941

Abstract: Recent years have witnessed a large amount of decentralized data in various (edge) devices of end-users, while the decentralized data aggregation remains complicated for machine learning jobs because of regulations and laws. As a practical… read more here.

Keywords: training process; multi job; multiple jobs; job ... See more keywords