Approach of dynamic load balancing in software defined networks with QoS

Koryachko, V. P.; Perepelkin, Dmitry; Byshov, Vladimir

doi:10.1109/meco.2017.7977237

Cited by 17 publications

(3 citation statements)

References 8 publications

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“…The research in [21] suggested a dynamic server load-balancing algorithm using the sFlow protocol. A dynamic load balancing mechanism that ensures service quality was suggested in [22]. Another strategy of message-level scheduling and flow-level scheduling performed in overburdening on a given access point (AP) is addressed in [23].…”

Section: B Dynamic Load Balancing Algorithmsmentioning

confidence: 99%

Leveraging Software-Defined Networks for Load Balancing in Data Centre Networks using Linear Programming

Reddy,

Nagappasetty

2023

IJC

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A rapid increase in the number of online applications has led to exponential growth in traffic. In data centers, it is hard to dynamically balance such huge amounts of traffic while keeping track of server data. A load-balancing strategy is an effective solution for distributing such huge amounts of traffic. The major contribution of this research work is to improve the performance of the network by designing a dynamic load balancing algorithm based on server data using SDN, reduction of controller overhead and optimizing energy consumption in a server pool. The problem is formulated using a Linear Programming mathematical model. In order to demonstrate the effectiveness and feasibility of the proposed technique, the experimental setup is deployed using real hardware components such as a Zodiac-Fx switch, Ryu controller and various web servers in the data center network. This proposed scheme is compared with round-robin and random load balancing mechanisms. The experimental results show that the performance is improved by 87.4% while saving 78% of the energy.

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Section: B Dynamic Load Balancing Algorithmsmentioning

confidence: 99%

Leveraging Software-Defined Networks for Load Balancing in Data Centre Networks using Linear Programming

Reddy,

Nagappasetty

2023

IJC

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“…Based on the duration of the response, the load balance problem in the server cluster is solved. The authors in [60], [67], [82], [86], [97] have used dynamic load balancing techniques to perform load balancing and optimize the use of resources by finding the shortest path to reach the destination and also improve the QoS performance.…”

Section: A Conventional Load Balancing Techniquesmentioning

confidence: 99%

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

et al. 2020

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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.

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“…V. Byshov et al, [13] has dynamic load balance algorithm with quality of service. The parts of links that are loaded and network routes are balanced.…”

Section: Related Workmentioning

confidence: 99%

Untitled

2018

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Software Defined Networking is an adaptable way of networking, which disconnects data forwarding plane and controlplane of system equipment's and also solves issues in existing network infrastructure. More specifically, the control-plane of software defined network decides the advancing way of network flow with Centralized Control Manner (CCM). SDN (Software Defined Networking) is a strategy for making, planning and overseeing systems which intend to change this present unfortunate circumstance. It has been used in dissimilar areas, like a campus networks and data center systems. In this survey paper, we've reviewed the concept of (SDNs) Software Defined Networks, its architecture and applications. In the survey, it h as been found that SDN load balancing has become more smart and efficient and reduces the statistic collection overhead and maintain better QoS (Quality of Service) data rates. In addition, we reviewed the direct routing based algorithms of Load Balancer and compare with Round Robin Strategy. Furthermore, we've reviewed and compared the existing work to get better idea about the concept of Load balancing.

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Approach of dynamic load balancing in software defined networks with QoS

Cited by 17 publications

References 8 publications

Leveraging Software-Defined Networks for Load Balancing in Data Centre Networks using Linear Programming

Leveraging Software-Defined Networks for Load Balancing in Data Centre Networks using Linear Programming

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

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