Suchergebnisse - "Adaptive dynamic scheduling algorithm"

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  1. 1

    An Intelligent Optimization-Based Load Balancing Scheduling Algorithm for Flink Tasks von Pan, Yuepeng, Liu, Yong

    Veröffentlicht: IEEE 21.03.2025
    “… To address the issues of resource usage imbalance and throughput bottlenecks caused by Flink's default scheduling strategy, a balanced scheduling algorithm …”
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  2. 2

    Adaptive Dynamic Scheduling on Multifunctional Mixed-Criticality Automotive Cyber-Physical Systems von Xie, Guoqi, Zeng, Gang, Li, Zhetao, Li, Renfa, Li, Keqin

    ISSN: 0018-9545, 1939-9359
    Veröffentlicht: New York IEEE 01.08.2017
    Veröffentlicht in IEEE transactions on vehicular technology (01.08.2017)
    “… A function model for the description of distributed end-to-end computations is called a task graph. Multiple functions with different criticality levels are …”
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  3. 3

    ADSA: A Multi-path Transmission Scheduling Algorithm based on Deep Reinforcement Learning in Vehicle Networks von Yin, Chenyang, Dong, Ping, Du, Xiaojiang, Zhang, Yuyang, Zhang, Hongke

    ISSN: 1938-1883
    Veröffentlicht: IEEE 16.05.2022
    “… ) multi-path transmission scheduling algorithm named Adaptive Dynamic Scheduling Algorithm (ADSA …”
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  4. 4

    Edge-LLM Inference With Cost-Aware Layer Allocation and Adaptive Scheduling von Habibi, Sama, Ercetin, Ozgur

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2025
    Veröffentlicht in IEEE access (2025)
    “… We propose two mechanisms: the Fair Cost-Efficient Incentive Mechanism (FCIM) for task and layer assignment, and the Adaptive Dynamic Scheduling Algorithm (ADSA …”
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  5. 5

    Adaptive Dynamic Scheduling on Multifunctional Mixed-Criticality Automotive Cyber-Physical Systems von Guoqi Xie, Keqin Li, Zhetao Li, Renfa Li, Gang Zeng

    ISSN: 0018-9545, 1939-9359
    Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.08.2017
    Veröffentlicht in IEEE Transactions on Vehicular Technology (01.08.2017)
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  6. 6

    Management of Vehicular Traffic System using Artificial Bee Colony Algorithm von O. Adebiyi, Risikat Folashade, Ahmad Abubilal, Kabir, Sunkary Tekanyi, Abdoulie Momodou, Hadir Adebiyi, Busayo

    ISSN: 2074-9074, 2074-9082
    Veröffentlicht: Hong Kong Modern Education and Computer Science Press 08.11.2017
    “… In this paper, an Adaptive Dynamic Scheduling Algorithm (ADSA) based on Artificial Bee Colony (ABC …”
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  7. 7

    Minimizing Task Completion Time in the Cloud based on Random Neural Network von Yu, Wang, Tongtong, Wu

    Veröffentlicht: IEEE 01.04.2021
    “… In this paper, the conditions for minimizing the average task completion time are derived by a simplified queuing model and an adaptive dynamic scheduling algorithm for minimizing the average task …”
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