Server Load Balancing with Round Robin Technique in SDN

Singh, Irengbam Tilokchan; Singh, Thounaojam Rupachandra; Sinam, Tejmani

doi:10.1109/dasa54658.2022.9765287

Cited by 16 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the load of the controllers themselves, Pang et al [3] designed a network load balancing strategy based on SDN data centers that uses SDN controllers to centrally monitor the entire network and select paths to forward according to the real-time load of the network, which can achieve load balancing of the controllers. Singh et al [4] designed the round robin algorithm to balance the load between SDN controller servers. To obtain better results in terms of latency, network speed, fault tolerance, and resource usage, Varalakshmi et al [5] designed a mechanism using round robin, randomized and weighted round robin, and minimum link algorithms to reduce the throughput of SDN controllers.…”

Section: Related Workmentioning

confidence: 99%

Load balancing strategy for SDN multi-controller clusters based on load prediction

Xiao,

Pan,

Liu

et al. 2023

J Supercomput

View full text Add to dashboard Cite

Software-defined networking (SDN) separates the control layer from the data layer, and decisions to manage the network are issued through a controller. The distributed SDN architecture is an effective solution addressing modern WAN SDN architectures and allows multiple controllers to manage different parts of the network to ensure efficient and stable operation. To solve the problems of high switch migration cost, load imbalance, and inefficient load balancing in SDN multi-controller environments, we propose a deep learning-based controller load prediction switch migration (LPSM) strategy that uses a migration switch selection algorithm, target controller selection algorithm, and switch migration decision algorithm. Then, we propose a load balancing algorithm based on this decision algorithm. The final experimental results show that the LPSM reduces the migration cost by 16% and 8%, respectively, compared with time-sharing switch migration (TSSM) and distributed decision migration (DDM) strategies, reduces load variance from 0.02 to 0.004 compared with the DDM strategy, and improves load balancing efficiency by 27.6% compared with the TSSM strategy.

show abstract

Section: Related Workmentioning

confidence: 99%

Load balancing strategy for SDN multi-controller clusters based on load prediction

Xiao,

Pan,

Liu

et al. 2023

J Supercomput

View full text Add to dashboard Cite

show abstract

“…In a nutshell, it shows how consistent your delay is. The measurements used are based on the industry standard for assessing network performance [22]- [25]. These tests play a crucial role in load-balancing scenarios as they help assess the efficiency of load distribution mechanisms and identify potential areas for improvement to achieve optimal network performance.…”

Section: Network Performance Evaluationmentioning

confidence: 99%

A discernment of round-robin vs SD-WAN load-balancing performance for campus area network

Gamilla,

Tolentino,

Payongayong

2024

Bulletin EEI

View full text Add to dashboard Cite

Efficient load balancing is crucial for optimizing network performance and ensuring seamless connectivity in modern campus area networks (CANs). With the proliferation of data-intensive applications and the increasing reliance on cloud-based services, organizations are seeking effective load-balancing solutions to distribute network traffic evenly across available resources. The continuous improvement of devices, tools, and techniques to cater a large amount of network traffic, started to be employed on different campuses. Understanding the best approach to maximize the utilization of the network resources is crucial in order to stabilize and maintain the network. The study aims to discern the round-robin and software defined-wide area network (SD-WAN) techniques based on defined metrics and conducted with a predefined payload for commonly used application conditions. The analysis shows that SD-WAN delivers a much superior performance than round-robin based on the criteria. The local area network (LAN) test shows difference between the two types of technology for the three given metrics. The WAN test shows that the round-robin has higher packet loss, latency, and jitter than the SD-WAN technology. While round-robin may suffice for small-scale deployments with relatively homogeneous traffic patterns, SD-WAN offers more sophisticated capabilities for larger CANs with diverse application workloads and distributed locations.

show abstract

“…In an effort to overcome traditional limitations, Singh et al 8 analyzed the performance of the round-robin algorithm within an SDN architecture. The study focuses on addressing the constraints of traditional Round-Robin Domain Name Systems (RR-DNS).…”

Section: Related Workmentioning

confidence: 99%

Load balancing algorithms in SDN networks with multiple servers

Masaquiza Caiza,

Maigualema Quimbita,

Tropea

2024

Disruptive Technologies in Information Sciences VIII

View full text Add to dashboard Cite

In recent years, the interest in Software-Defined Networking (SDN) has been very high. Many applications of traditional networking have been implemented in SDN environments in order to test the performance of the different network devices. In this paper, server load-balancing (LB) based on SDN has been developed and tested to verify the effectiveness of this approach inside the new networking approach. In our implementation, we have used a RYU controller for controlling and managing network devices and two different LB algorithms have been implemented. We have performed an analysis of these two algorithms with a system without load balancing in a server-client system changing the number of servers and clients in order to show the performance of the SDN network.

show abstract

Server Load Balancing with Round Robin Technique in SDN

Cited by 16 publications

References 1 publication

Load balancing strategy for SDN multi-controller clusters based on load prediction

Load balancing strategy for SDN multi-controller clusters based on load prediction

A discernment of round-robin vs SD-WAN load-balancing performance for campus area network

Load balancing algorithms in SDN networks with multiple servers

Contact Info

Product

Resources

About