Artificial intelligence based load balancing in SDN

This survey focuses on the following: Firstly, analyzing the SDN architecture and investigating the problem of load balancing in SDN.

[2308.02149] Artificial intelligence based load balancing in SDN

This survey focuses on the following: Firstly, analyzing the SDN architecture and investigating the problem of load balancing in SDN.

Artificial Intelligence Based Reliable Load Balancing Framework in ...

The reliability of the controller-switch pair, however, remains an area to be explored. A modified PSO used in [15] integrated SDN with fog computing to address ...

(PDF) Artificial Intelligence Based Reliable Load Balancing ...

... Artificial intelligence-based load balancing frameworks have been proposed to balance the load in SDN [22] . These frameworks employ ...

A Load Balancing Method based on Artificial Neural Networks for ...

Aiming at attending evolving scenarios towards improved network performance, this paper presents a load balancing method based on an Artificial Neural Network ( ...

Study of Traffic Based Load Balancing Algorithm in the SDN

the advent of SDN provided another idea of enhancing the system's focal programmability. The load balancing issue needs to be addressed efficiently to manage ...

Analysis of intelligent load balancing on software defined network ...

SDN's artificial intelligence will be able to make intelligent decisions to distribute network traffic to multiple servers. The results of the analysis show ...

Optimization Algorithms in SDN: Routing, Load Balancing, and ...

Techniques such as machine learning can be employed to predict future traffic patterns and adjust allocations accordingly. The implementation of dynamic load ...

Metrics employed in SDN AI-Based load balancing techniques

Download scientific diagram | Metrics employed in SDN AI-Based load balancing techniques from publication: Artificial intelligence based load balancing in ...

Load Balancing model based on Machine Learning and Segment ...

A model which aims to reduce not only the overall load on the network, but also to reduce the bandwidth and improve the routing mechanism on the SDN ...

Load Balancing in the AI Data Center | Juniper Networks US

AI/ML workloads in data centers generate distinct traffic called “Elephant flows.” These large amounts of remote direct memory access (RDMA) ...

SDN Controller Load Balancing Based on Reinforcement Learning

Abstract: Aiming at the local overload of multi-controller deployment in software-defined networks, a load balancing mechanism of SDN controller based on ...

Artificial Intelligence Based Reliable Load Balancing Framework in ...

Further, we identified that a modification to the existing optimization technique could improve the performance by using a reliable link and node to form the ...

AI-Driven Load Balancing for Energy-Efficient Data Centers

Artificial Intelligence (AI) offers great potential to provide solutions to the issues of energy efficiency in data centers. AI-based load ...

Reinforcement Learning-Based Adaptive Load Balancing for ... - arXiv

To address these challenges, artificial intelligence (AI) has emerged as a promising solution, offering more adaptive and intelligent approaches ...

Review of Load Balancing Mechanisms in SDN-Based Data Centers

[7] proposed a method to identify and classify conflicting traffic using machine learning (ML) algorithms, which can accurately detect and classify different ...

Deep learning for load balancing of SDN‐based data center networks

This paper presents a deep learning (DL) technique for load balancing of software-defined network (SDN)-based DCNs. The variable load values ...

Load balancing for Software Defined Network using Machine learning

Abstract: Software-Defined Networking is one of the most revolutionary and prominent technology in the field of networking.

Intelligent Load Balancing Techniques in Software Defined Networks

This scheme uses swarm intelligence to minimize average application response time, maximized throughput, and for better resource utilization. This proposed ...

Machine Learning Load Balancing Techniques in Cloud Computing

They include software-defined network (SDN), User Datagram Protocol (UDP),. Transmission Control Protocol (TCP), Server Load. Balancer (SLB), Virtual and Load ...