Optimizing Task and CPU Predictions in Vehicular Edge Computing Orchestrators
Author:
Affiliation:
1. Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
2. INESC-ID/Instituto Superior Tecnico, Lisbon, Portugal
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3616392.3623413
Reference11 articles.
1. Deep Learning-Based Channel Prediction for Edge Computing Networks Toward Intelligent Connected Vehicles
2. Christian Makaya Amalendu Iyer Jonathan Salfity Madhu Athreya and M Anthony Lewis. 2020. Cost-effective machine learning inference offload for edge computing. arXiv preprint arXiv:2012.04063. Christian Makaya Amalendu Iyer Jonathan Salfity Madhu Athreya and M Anthony Lewis. 2020. Cost-effective machine learning inference offload for edge computing. arXiv preprint arXiv:2012.04063.
3. Deep Reinforcement Learning for Vehicular Edge Computing
4. Deep Reinforcement Learning Edge Workload Orchestrator for Vehicular Edge Computing
5. EdgeCloudSim: An environment for performance evaluation of edge computing systems
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