Suchergebnisse - "task scheduling algorithms"

  1. 1

    An enhanced list scheduling algorithm for heterogeneous computing using an optimized Predictive Cost Matrix von Wang, Min, Chen, Jiawang, Wang, Haoyuan, Gao, Ziyi, Bian, Weihao, Qiao, Sibo

    ISSN: 0167-739X
    Veröffentlicht: Elsevier B.V 01.05.2025
    Veröffentlicht in Future generation computer systems (01.05.2025)
    “… Effective task scheduling is essential for optimizing resource utilization and improving system performance in heterogeneous computing environments. Current …”
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  2. 2

    Task Scheduling Algorithms for Energy Optimization Under Scheduling Duration and Reliability Constraints von Li, Shizhuang, Hao, Bide, Yang, Shichun, Duan, Qianlong, Chen, Wenlong, Zhou, Fan

    ISSN: 2378-363X
    Veröffentlicht: IEEE 18.08.2024
    “… High-performance domain controllers' hardware and software are put to the test by the growing array of additional capabilities found in smart, connected cars …”
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  3. 3

    Performance evaluation of task scheduling algorithms in virtual cloud environment to minimize makespan von Kaur, Rajbhupinder, Laxmi, Vijay, Balkrishan

    ISSN: 2511-2104, 2511-2112
    Veröffentlicht: Singapore Springer Singapore 01.02.2022
    “… Cloud computing has emerged as a foremost technology utilizing the notion of commercial application of technology with public users. Cloud computing is …”
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  4. 4

    Research on Task Priority Model and Algorithm for Satellite Scheduling Problem von Wu, Jian, Zhang, Jiawei, Yang, Jinghui, Xing, Lining

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2019
    Veröffentlicht in IEEE access (2019)
    “… In satellite scheduling system, one of the most important issues is task scheduling. Most of the existing algorithms focused on the scenario of normal tasks …”
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  5. 5

    Energy-Aware VM Placement and Task Scheduling in Cloud-IoT Computing: Classification and Performance Evaluation von Ismail, Leila, Materwala, Huned

    ISSN: 2327-4662, 2327-4662
    Veröffentlicht: Piscataway IEEE 01.12.2018
    Veröffentlicht in IEEE internet of things journal (01.12.2018)
    “… Cloud Internet of Things (IoT) is a novel paradigm, where the limitations of IoT associated devices in terms of storage, data access, scalability, networking …”
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  6. 6

    Optimizing Task Scheduling in Cloud Computing with Deep Learning: A Diabetes Detection Case Study von Mosleh, Hebah, Albashayreh, Amjad, Yousef, Maria

    Veröffentlicht: IEEE 16.04.2025
    “… Efficient task scheduling in GPU-enabled cloud computing environments remains a critical challenge, as optimizing resource utilization, minimizing execution …”
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  7. 7

    Task Scheduling Techniques in Cloud and Fog Computing for Health Care von Banerjee, Pallab, Faraz, Ahmad, Dehury, Mohan Kumar, Mitra, Dipra, Thakur, Kanika, Kar, Bikram

    Veröffentlicht: IEEE 28.11.2024
    “… Rapidly influencing the Internet's future, the Internet of Things (IoT) is emerging as a crucial technology in several industries, most notably healthcare. IoT …”
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  8. 8

    Energy Efficient Workflow Scheduling Algorithm for Latency-Sensitive Applications using Cloud-Fog Collaboration von Shukla, Prashant, Pandey, Sudhakar

    ISSN: 2153-1684
    Veröffentlicht: IEEE 17.12.2023
    “… The objectives of most studies are aimed at employing fog computing (FC) as an effective support to cloud computing (CC) in order to monitor sensor data and …”
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  9. 9

    A Survey on Cloud Computing Scheduling Algorithms von Meriam, Essaies, Tabbane, Nabil

    Veröffentlicht: IEEE 01.07.2016
    “… Cloud computing is a distributed computing modelwhich enables developers to automatically deploy applicationsduring task allocation and storage distribution …”
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  10. 10

    Improving Tasks Scheduling Performance in Cloud Computing Environment by Using Analytic Hierarchy Process Model von Aladwani, Tahani

    Veröffentlicht: IEEE 01.08.2017
    “… Cloud computing is a platform serving millions of users simultaneously. This platform employs various task scheduling algorithms that play a significant role …”
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  11. 11

    Application of grid task scheduling algorithm RR to evolutionary multi-robotics problem von Matsumura, Y., Matsuda, M., Oiso, M., Ohkura, K., Fujimoto, N.

    ISBN: 9781889335384, 188933538X
    ISSN: 2154-4824
    Veröffentlicht: IEEE 01.09.2008
    Veröffentlicht in 2008 World Automation Congress (01.09.2008)
    “… Task scheduling algorithms for evolutionary multi-robotics (EMR) problem in grid computing environments are discussed. In this paper, list scheduling with …”
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  12. 12

    Bandwidth-aware divisible task scheduling for cloud computing von Lin, Weiwei, Liang, Chen, Wang, James Z., Buyya, Rajkumar

    ISSN: 0038-0644, 1097-024X
    Veröffentlicht: Bognor Regis Blackwell Publishing Ltd 01.02.2014
    Veröffentlicht in Software, practice & experience (01.02.2014)
    “… SUMMARY Task scheduling is a fundamental issue in achieving high efficiency in cloud computing. However, it is a big challenge for efficient scheduling …”
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  13. 13

    A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment von Hassan, Hadeer A., Salem, Sameh A., Saad, Elsayed M.

    ISSN: 0167-739X, 1872-7115
    Veröffentlicht: Elsevier B.V 01.11.2020
    Veröffentlicht in Future generation computer systems (01.11.2020)
    “… The energy consumption is one of the major concerns addressed by recent researches in the green cloud environment. As a result, to decrease the enormous …”
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  14. 14

    A hybrid approach for scheduling applications in cloud computing environment von Abdalkafor, Ahmed Subhi, Ali Alheeti, Khattab M.

    ISSN: 2088-8708, 2088-8708
    Veröffentlicht: 01.04.2020
    “… Cloud computing plays an important role in our daily life. It has direct and positive impact on share and update data, knowledge, storage and scientific …”
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    An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars von Chen, Yijun, Zhang, Qun, Yuan, Ning, Luo, Ying, Lou, Hao

    ISSN: 1053-587X, 1941-0476
    Veröffentlicht: IEEE 01.10.2015
    Veröffentlicht in IEEE transactions on signal processing (01.10.2015)
    “… In multi-function phased array radar (MFPAR) systems, time and energy resources are allocated for different tasks so that the radar can perform various …”
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  17. 17

    A survey study on task scheduling schemes for workflow executions in cloud computing environment: classification and challenges von Hosseini Shirvani, Mirsaeid

    ISSN: 0920-8542, 1573-0484
    Veröffentlicht: New York Springer US 01.05.2024
    Veröffentlicht in The Journal of supercomputing (01.05.2024)
    “… Several real-world scientific and industrial workflow applications adopt elastic and cost-efficient cloud services to fulfill their requirement. There are two …”
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  18. 18

    Virtual robots based on multi task scheduling algorithms in visual graphic design and digital art applications von Wang, Mingrong, Jiang, Shuqing

    ISSN: 1875-9521
    Veröffentlicht: Elsevier B.V 01.01.2025
    Veröffentlicht in Entertainment computing (01.01.2025)
    “… •In the process of art design, AI image technology provides users with more interactive experiences.•This article investigates the application of virtual …”
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  19. 19

    Performance evaluation of political teaching MOOC system based on task scheduling and AI system von Cui, Wanru

    ISSN: 1432-7643, 1433-7479
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023
    Veröffentlicht in Soft computing (Berlin, Germany) (01.07.2023)
    “… In the network control system, due to the limitation of network bandwidth and control system conditions, the information transmission of sampling and control …”
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    Optimization of artificial intelligence in localized big data real-time query processing task scheduling algorithm von Sun, Maojin, Sun, Luyi

    ISSN: 2296-424X, 2296-424X
    Veröffentlicht: Frontiers Media S.A 24.10.2024
    Veröffentlicht in Frontiers in physics (24.10.2024)
    “… IntroductionThe development of science and technology has driven rapid changes in the social environment, especially the rise of the big data environment, …”
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