TaskSchedulingDQN: Energy-Aware Scheduling and Task Allocation in Cloud Environments

Publication

This work has been published in IEEE Transactions on Computational Social Systems.

Citation

If you want to cite this work, please use one of the following formats:

IEEE Format

H. Janjani, T. Agarwal, M. P. Gopinath, V. Sharma and S. P. Raja, "Designing Energy-Aware Scheduling and Task Allocation Algorithms for Online Reinforcement Learning Applications in Cloud Environments," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2024.3508089

BibTeX Format

@ARTICLE{10803910,
  author={Janjani, Harshal and Agarwal, Tanmay and Gopinath, M. P. and Sharma, Vimoh and Raja, S. P.},
  journal={IEEE Transactions on Computational Social Systems},
  title={Designing Energy-Aware Scheduling and Task Allocation Algorithms for Online Reinforcement Learning Applications in Cloud Environments},
  year={2024},
  volume={},
  number={},
  pages={1-15},
  keywords={Cloud computing;Scheduling;Resource management;Energy consumption;Dynamic scheduling;Planning;Optimization;NOMA;Heuristic algorithms;Servers;Cloud computing;deep learning;green computing;multiobjective optimization;reinforcement learning},
  doi={10.1109/TCSS.2024.3508089}
}

Publication Details

• Title: Designing Energy-Aware Scheduling and Task Allocation Algorithms for Online Reinforcement Learning Applications in Cloud Environments
• Authors: Harshal Janjani, Tanmay Agarwal, M. P. Gopinath, Vimoh Sharma, S. P. Raja
• Journal: IEEE Transactions on Computational Social Systems
• Year: 2024
• Pages: 1-15
• DOI: 10.1109/TCSS.2024.3508089

Keywords

• Cloud Computing
• Task Scheduling
• Resource Management
• Energy Consumption
• Dynamic Scheduling
• Planning
• Optimization
• Heuristic Algorithms
• Servers
• Deep Learning
• Green Computing
• Multiobjective Optimization
• Reinforcement Learning

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.