Weighted Round-Robin Load Balancing Algorithm for Software-Defined Network

Vyakaranal, Shashidhara B.; Naragund, Jayalaxmi G.

doi:10.1007/978-981-13-5802-9_35

Cited by 11 publications

(11 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, we evaluate the performance of our proposed HDW algorithm by comparing it to three related works [3,13,16]. The related works refer to Vyakaranal et al's work [16] on distributed LB algorithm using WRR denoted as DWRR, Robin et al's work [13] on weighted load balance with binary node algorithm denoted as WLB and Mei-Ling et al's work [3] on dynamic weighted random selection algorithm denoted as DWRS respectively in Table 4. Moreover, we set equal parameters for each case of the experimentation with respect to each algorithm under consideration.…”

Section: Results Comparisonmentioning

confidence: 99%

“…Our proposed HDW algorithm proved to be efficient as results obtained is relatively higher than the other compared algorithms. Vyakaranal et al's work [16] on distributed LB algorithm using WRR (DWRR), gave higher throughput with an improved network availability but it was not secured. Robin et al's work [13] on weighted load balance with binary node (WLB) algorithm was secured but it had lower resource availability The proposed HDW algorithm provides maximum throughput to increase resource availability utilizing an efficient weight scheduling method.…”

Section: Results Comparisonmentioning

confidence: 99%

“…This algorithm proves to be successful but there are a lot overheads and congestion which affects the performance of the network. Vyakaranal et al [ 16 ] used a Weighted round-robin load balancing algorithm for their research work. The WRR algorithm gave an improved load scheduling mechanism.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Enhanced network load balancing technique for efficient performance in software defined network

Kofi

Ahene

2023

PLoS ONE

View full text Add to dashboard Cite

Hash collisions and redirection of loads are major limitations for recent Hash IP algorithms. To overcome this, we propose a new Hash IP algorithm dubbed HDW in network load balancing (NLB) to increase network’s efficiency, availability and scalability. We achieve the new Hash IP load balancing algorithm via a constructive merger with weighted scheduler (WS) technique and dynamic switching of routing path (DSP). This helps to reduce delays, jitters and additionally assures some level of security owing to the hashing process. Our findings after comprehensive simulations and performance evaluation depicts that our proposed HDW algorithm is relatively efficient as against other related load balancing algorithms for software defined network.

show abstract

Section: Results Comparisonmentioning

confidence: 99%

Section: Results Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced network load balancing technique for efficient performance in software defined network

Kofi

Ahene

2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The simulation results indicate that the WRR load balancing approach outperforms round-robin and dynamic load balancing. Moreover, in 2019, [32] incorporated a WRR algorithm for load balancing in the SDN controller. The simulation results indicate that the utilization of the WRR algorithm is highly efficient compared to the standard SDN approach (i.e., without employing the WRR algorithm).…”

Section: Background and Related Workmentioning

confidence: 99%

A New WRR Algorithm for an Efficient Load Balancing System in IoT Networks under SDN

Tamri,

Antari,

Iqdour

2024

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

The Internet of Things (IoT) connects various smart objects and manages a vast network using diverse technologies, which present numerous challenges. Software-defined networking (SDN) is a system that addresses the challenges of traditional networks and ensures the centralized configuration of network entities to manage network integrity. Furthermore, the uneven distribution of IoT network load results in the depletion of IoT device resources. To address this issue, traffic must be distributed equally, requiring efficient load balancing to be ensured. This requires the development of an efficient architecture for IoT networks. The main goal of this paper is to propose a novel architecture that leverages the potential of SDN, the clustering technique, and a new weighted round-robin (N-WRR) protocol. The objective of this architecture is to achieve load balancing, which is a crucial aspect in the development of IoT networks as it ensures the network’s efficiency. Furthermore, to prevent network congestion and ensure efficient data flow by redistributing traffic from overloaded paths to less burdened ones. The simulation results demonstrate that our N-WRR algorithm achieves highly efficient load balancing compared to the simple weighted round-robin (WRR), and without the application of any load balancing method. Furthermore, our proposed approach enhances throughput, data transfer, and bandwidth availability. This results in an increase in processed requests.

show abstract

“…Sometimes the priority requests also have to wait for the resources to be allocated. The authors in [73], [78], [79], [87] have either used the method or modified versions directly by adding weights or considering the least time needed to perform load balancing.…”

Section: A Conventional Load Balancing Techniquesmentioning

confidence: 99%

A Systematic Review of Load Balancing Techniques in Software-Defined Networking

et al. 2020

View full text Add to dashboard Cite

The traditional networks are facing difficulties in managing the services offered by cloud computing, big data, and the Internet of Things as the users have become more dependent on their services. Software-Defined Networking (SDN) has pulled enthusiasm in the integration process of technologies and function as per the user's requirements for both academia and industry, and it has begun to be embraced in actual framework usage. The emergence of SDN has given another idea to empower the focal programmability of the system. Because of the increasing demand and the scarcity of resources, the load balancing issue needs to be addressed efficiently to manage the incoming traffic and resources and to improve network performance. One of the most critical issues is the role of the controller in SDN to balance the load for having a better Quality of Service (QoS). Though there are few survey articles written on load balancing, there is no detail and systematic review conducted in load balancing in SDN. Hence, this paper extends and reviews the discussion with a taxonomy of current emerging load balancing techniques in SDN systematically by categorizing the techniques as conventional and artificial intelligence-based techniques to improve the service quality. The review also includes the study of metrics and parameters which have been used to measure the performance. This review would allow gaining more information on load balancing approaches in SDN and enables the researchers to fill the current research gaps.

show abstract

Weighted Round-Robin Load Balancing Algorithm for Software-Defined Network

Cited by 11 publications

References 5 publications

Enhanced network load balancing technique for efficient performance in software defined network

Enhanced network load balancing technique for efficient performance in software defined network

A New WRR Algorithm for an Efficient Load Balancing System in IoT Networks under SDN

A Systematic Review of Load Balancing Techniques in Software-Defined Networking

Contact Info

Product

Resources

About