A New Federated Scheduling Algorithm for Arbitrary-Deadline DAG Tasks-Reference-Cited by-同舟云学术

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A New Federated Scheduling Algorithm for Arbitrary-Deadline DAG Tasks

Published:2023-08-01 Issue:8 Volume:72 Page:2264-2277
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Guan Fei¹^ORCID,Peng Long²^ORCID,Qiao Jiaqing³^ORCID

Affiliation:

1. Department of Computer Science and Technology, Northeast Forestry University, Harbin, Heilongjiang, China

2. School of Computer, National University of Defense Technology, Changsha, Hunan, China

3. School of Electronic and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/10177816/10043684.pdf?arnumber=10043684

Reference22 articles.

1. Semi-Federated Scheduling of Parallel Real-Time Tasks on Multiprocessors

2. The Federated Scheduling of Constrained-Deadline Sporadic DAG Task Systems

3. Bounds on Multiprocessing Timing Anomalies

4. Virtually-Federated Scheduling of Parallel Real-Time Tasks

5. Worst-case utilization bound for EDF scheduling on real-time multiprocessor systems

Cited by 4 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. Dependency-aware online task offloading based on deep reinforcement learning for IoV;Journal of Cloud Computing;2024-09-05

2. Energy-efficient DAG scheduling with DVFS for cloud data centers;The Journal of Supercomputing;2024-03-27

3. Brief Industry Paper: Retention-Based Energy-Efficient Scheduling of Arbitrary-Deadline DAG Tasks on Multicore Platforms;2023 IEEE Real-Time Systems Symposium (RTSS);2023-12-05

4. Work-in-Progress: Federated and Bundled-Based DAG Scheduling;2023 IEEE Real-Time Systems Symposium (RTSS);2023-12-05

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