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Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning.

, , , , , , and . CNSM, page 1-5. IEEE, (2023)

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Real-time virtualization with Xvisor., , , and . Internet Things, (2020)Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning., , , , , , , , and . SDS, page 1-8. IEEE, (2021)Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning., , , , , , and . CNSM, page 1-5. IEEE, (2023)Hierarchical Real-Time Multi-core Scheduling through Virtualization: A Survey., , and . 3PGCIC, page 611-616. IEEE Computer Society, (2015)Demo Abstract: Crowd analysis with infrared sensor arrays on the smart city edge., , , , and . INFOCOM Workshops, page 983-984. IEEE, (2019)A Multi-Modal Wireless Sensor System for River Monitoring: A Case for Kikuletwa River Floods in Tanzania., , , , , and . Sensors, 23 (8): 4055 (2023)Navigating the Kikuletwa River Levels with Deep Learning: An LSTM-Based Approach to Forecasting., , , , and . AFRICON, page 1-3. IEEE, (2023)A Demonstration of Seamless Inter-Technology Mobility in Heterogeneous Networks., , , , , , and . WOWMOM, page 14-16. IEEE Computer Society, (2018)Network Intelligence for NFV Scaling in Closed-Loop Architectures., , , , , , and . IEEE Commun. Mag., 61 (6): 66-72 (June 2023)Hard real-time scheduling on virtualized embedded multi-core systems. University of Antwerp, Belgium, (2018)