Stochastic modeling for intelligent software-defined vehicular networks: A survey
Digital twins and the Internet of Things (IoT) have gained significant research attention in
recent years due to their potential advantages in various domains, and vehicular ad hoc …
recent years due to their potential advantages in various domains, and vehicular ad hoc …
Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks
The advent of the Internet of Everything and new Ultra-Reliable Low-Latency
Communication (URLLC) services has resulted in an exponential growth in data demands at …
Communication (URLLC) services has resulted in an exponential growth in data demands at …
EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning
Y Hao, S Yang, F Li, Y Zhang, S Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
In mobile edge computing (MEC), resource scheduling is crucial to task requests'
performance and service providers' cost, involving multi-layer heterogeneous scheduling …
performance and service providers' cost, involving multi-layer heterogeneous scheduling …
Dynamic service prioritization with predicted intervals for QoS-sensitive service migrations in MEC
S Velrajan, VC Sharmila - Service Oriented Computing and Applications, 2024 - Springer
Abstract Service migrations in Multi-access Edge Compute (MEC) infrastructure are complex
due to the geographically distributed infrastructure, limited availability of resources at the …
due to the geographically distributed infrastructure, limited availability of resources at the …