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PEFS: AI-Driven Prediction Based Energy-Aware Fault-Tolerant Scheduling Scheme for Cloud Data Center

  • Published:2021-10-01 Issue:4 Volume:6 Page:655-666
  • ISSN:2377-3782
  • Container-title:IEEE Transactions on Sustainable Computing
  • language:
  • Short-container-title:IEEE Trans. Sustain. Comput.

Author:

Marahatta AvinabORCID,Xin QinORCID,Chi Ce,Zhang FaORCID,Liu Zhiyong

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review;Future Generation Computer Systems;2024-02

2. Cloud with AI;The Role of AI in Enhancing IoT-Cloud Applications;2023-10-03

3. Hybrid Pelican and Archimedes optimization algorithm fostered energy aware task scheduling in heterogeneous virtualized cloud computing;Transactions on Emerging Telecommunications Technologies;2023-09-08

4. An effective fault tolerance aware scheduling using hybrid horse herd optimisation‐reptile search optimisation approach for a cloud computing environment;Cognitive Computation and Systems;2023-09

5. Predicting Cloud Applications Failures from Infrastructure Level Data;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2023-06
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