Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A comprehensive survey of load balancing techniques in software-defined network
A software-defined network (SDN) separates the network control plane from the data
forwarding plane. SDN has shown significant benefits in many ways compared to …
forwarding plane. SDN has shown significant benefits in many ways compared to …
Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges
Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI)
technique. However, current studies and applications need to address its scalability, non …
technique. However, current studies and applications need to address its scalability, non …
LBABC: Distributed controller load balancing using artificial bee colony optimization in an SDN
Abstract Software Defined Networking (SDN) is a popular paradigm in modern networking.
Specifically distributed SDN is an emerging area because of the problems present with …
Specifically distributed SDN is an emerging area because of the problems present with …
[HTML][HTML] Deep reinforcement learning multi-agent system for resource allocation in industrial internet of things
J Rosenberger, M Urlaub, F Rauterberg, T Lutz, A Selig… - Sensors, 2022 - mdpi.com
The high number of devices with limited computational resources as well as limited
communication resources are two characteristics of the Industrial Internet of Things (IIoT) …
communication resources are two characteristics of the Industrial Internet of Things (IIoT) …
Distributed momentum-based Frank-Wolfe algorithm for stochastic optimization
This paper considers distributed stochastic optimization, in which a number of agents
cooperate to optimize a global objective function through local computations and information …
cooperate to optimize a global objective function through local computations and information …
Dynamic controller assignment in software defined internet of vehicles through multi-agent deep reinforcement learning
In this article, we introduce a novel dynamic controller assignment algorithm targeting
connected vehicle services and applications, also known as Internet of Vehicles (IoV). The …
connected vehicle services and applications, also known as Internet of Vehicles (IoV). The …
Multiple-level threshold load balancing in distributed SDN controllers
Abstract The distributed Software-Defined Networking (SDN) approach has been adopted to
address the scalability issue linked to the use of a single SDN controller, particularly in large …
address the scalability issue linked to the use of a single SDN controller, particularly in large …
A Multi-layered defence strategy against DDoS attacks in SDN/NFV-based 5G mobile networks
Software-defined networking (SDN) and network functions virtualisation (NFV) are crucial
technologies for integration in the fifth generation of cellular networks (5G). However, they …
technologies for integration in the fifth generation of cellular networks (5G). However, they …
An intelligent load balancing technique for software defined networking based 5g using machine learning models
The emergence of two new technologies, namely software defined networking (SDN) and
5G networks, has greatly changed the development of network functions and network …
5G networks, has greatly changed the development of network functions and network …
Achieving balanced load distribution with reinforcement learning-based switch migration in distributed SDN controllers
Distributed controllers in software-defined networking (SDN) become a promising approach
because of their scalable and reliable deployments in current SDN environments. Since the …
because of their scalable and reliable deployments in current SDN environments. Since the …