ETFC: Energy-efficient and deadline-aware task scheduling in fog computing
Abstract The Internet of Things (IoT) is constantly evolving and expanding. However, due to
the limited IoT resources, it is intertwined with fog computing to use their resources to …
the limited IoT resources, it is intertwined with fog computing to use their resources to …
Towards Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions
The next generation (6G) wireless communication technology has super advantages in high
transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due …
transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due …
5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate
CL Moreira, CA Kamienski, RAC Bianchi - Computer Networks, 2024 - Elsevier
Abstract 5G technologies are fueling a revolution across numerous industries, including
manufacturing, healthcare, and entertainment, by enabling the development and …
manufacturing, healthcare, and entertainment, by enabling the development and …
[PDF][PDF] Task Offloading in Fog Computing with Deep Reinforcement Learning: Future Research Directions Based on Security and Efficiency Enhancements
A Pakmehr - CLOUD COMPUTING 2024, 2024 - researchgate.net
The surge in Internet of Things (IoT) devices and data generation highlights the limitations of
traditional cloud computing in meeting demands for immediacy, Quality of Service, and …
traditional cloud computing in meeting demands for immediacy, Quality of Service, and …
Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey
The emergence of 5G networks has increased the demand for network resources, making
efficient resource management crucial. Slice admission control (SAC) is a process that …
efficient resource management crucial. Slice admission control (SAC) is a process that …