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Works cited by this work

39 works

Work: Efficient deep reinforcement learning based task scheduler in multi cloud environment

  1. An initialization-free distributed algorithm for dynamic economic dispatch problems in microgrid: Modeling, optimization and analysis

    Yuzhu Duan, Yiyi Zhao, Jiangping Hu

    Article20237 citations
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  2. DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing

    Sudheer Mangalampalli, Ganesh Reddy Karri, Mohit Kumar +3

    Article20234 citations
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  3. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

    Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov +2

    Article20103 citations
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  4. A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques

    Prasanta Kumar Bal, Sudhir Kumar Mohapatra, Tapan Kumar Das +2

    Article20223 citations
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  5. Multi-Objective Task Scheduling Optimization for Load Balancing in Cloud Computing Environment Using Hybrid Artificial Bee Colony Algorithm With Reinforcement Learning

    Boonhatai Kruekaew, Warangkhana Kimpan

    Article20223 citations
    ABI

  6. Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)

    Mohammed Alghamdi

    Article20223 citations
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  7. Cloud Computing and Virtualization

    Sudheer Mangalampalli, Pokkuluri Kiran Sree, Sangram Keshari Swain +1

    Other20233 citations
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  8. An improved particle swarm optimization algorithm for task scheduling in cloud computing

    Poria Pirozmand, Hoda Jalalinejad, Ali Asghar Rahmani Hosseinabadi +2

    Article20233 citations
    ABI

  9. HWACOA Scheduler: Hybrid Weighted Ant Colony Optimization Algorithm for Task Scheduling in Cloud Computing

    Chirag Chandrashekar, K. Pradeep, Vijayakumar Kedalu Poornachary +2

    Article20233 citations
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  10. Distributionally Robust Scheduling for Benefit Allocation in Regional Integrated Energy System with Multiple Stakeholders

    Qinglin Meng, Xiaolong Jin, Fengzhang Luo +2

    Article20243 citations
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  11. Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems

    Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab +1

    Article20202 citations
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  12. Optimized intellectual resource scheduling using deep reinforcement Q‐learning in cloud computing

    J. Uma, P. Vivekanandan, S. Shankar

    Article20222 citations
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  13. A novel deep reinforcement learning scheme for task scheduling in cloud computing

    K Siddesha, G.V. Jayaramaiah, Chandrapal Singh

    Article20222 citations
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  14. Multi-Objective Parallel Task Offloading and Content Caching in D2D-aided MEC Networks

    Zhu Xiao, Jinmei Shu, Hongbo Jiang +4

    Article20222 citations
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  15. Multi objective dynamic task scheduling optimization algorithm based on deep reinforcement learning

    Yuqing Cheng, Zhiying Cao, Xiuguo Zhang +2

    Article20232 citations
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  16. Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

    Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty +5

    ArticleCloud Computing and Resource ManagementScientific Reports20232 citations
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  17. HEPGA: A new effective hybrid algorithm for scientific workflow scheduling in cloud computing environment

    Hind Mikram, Said El Kafhali, Youssef Saadi

    Article20232 citations
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