A Reinforcement Learning-based DAG Tasks Scheduling in Edge-Cloud Collaboration Systems
Author:
Affiliation:
1. School of Telecommunications Engineering, Xidian University,State Key Laboratory of Integrated Service Networks,Xi'an,China,710071
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436802.pdf?arnumber=10436802
Reference12 articles.
1. AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
2. Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective
3. Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing
4. Workflow scheduling for SaaS / PaaS cloud providers considering two SLA levels
5. Heuristic-based load-balancing algorithm for IaaS cloud
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