Deep reinforcement learning for resource demand prediction and virtual function network migration in digital twin network
Q Liu, L Tang, T Wu, Q Chen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) enables intelligent services varying with the complex and
realtime environment to achieve network benefits, where network function virtualization …
realtime environment to achieve network benefits, where network function virtualization …
A Comprehensive Survey on SmartNICs: Architectures, Development Models, Applications, and Research Directions
The end of Moore's Law and Dennard Scaling has slowed processor improvements in the
past decade. While multi-core processors have improved performance, they are limited by …
past decade. While multi-core processors have improved performance, they are limited by …
DDPG-MPCC: An Experience Driven Multipath Performance Oriented Congestion Control
We introduce a novel multipath data transport approach at the transport layer referred to as
'Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion …
'Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion …
A fairness‐aware task offloading method in edge‐enabled IIoT with multi‐constraints using AGE‐MOEA and weighted MMF
By providing distributed and ultra‐low‐latency communication between industrial devices
and resource components, the Industrial Internet of Things (IIoT) is at the forefront of a new …
and resource components, the Industrial Internet of Things (IIoT) is at the forefront of a new …
Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches
In-network function offloading represents a key enabler of the SDN-based data plane
programmability to enhance network operation and awareness while speeding up …
programmability to enhance network operation and awareness while speeding up …
FBMS: Friendliness Balancing Based Multipath Scheduling for Differential Video Streaming
Multipath transmission can effectively utilize multiple paths and provide high Quality of
Service (QoS) performance for video streaming services. However, when multiple video …
Service (QoS) performance for video streaming services. However, when multiple video …
P4-based In-Network RL inference for Efficient Flow-Level Bandwidth Allocation
A Qadeer, MJ Lee, D Nobayashi - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Software-defined networking (SDN) has notably improved networks by providing Machine
Learning-Powered programming capabilities at the control plane (CP), making it easier to …
Learning-Powered programming capabilities at the control plane (CP), making it easier to …
Redundancy-Reduction-Based Hierarchical Design in Synchronization of Multi-Agent Systems
In this paper, a layered, undirected-network-structure, optimization approach is proposed to
reduce the redundancy in multi-agent information synchronization and improve the …
reduce the redundancy in multi-agent information synchronization and improve the …
Machine Learning Driven Resource Allocation in Edge Cloud
A Qadeer - 2023 - search.proquest.com
Next generation mobile and immersive applications (eg, Augmented Reality (AR), Virtual
Reality (VR), Extended reality (XR)), and Internet of Things (IoTs) provide richer …
Reality (VR), Extended reality (XR)), and Internet of Things (IoTs) provide richer …