Node to Node Performance Evaluation through RYU SDN Controller

Islam, Md. Tariqul; Islam, Nazrul; Refat, Md. Al

doi:10.1007/s11277-020-07060-4

Cited by 43 publications

(11 citation statements)

References 22 publications

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“…The performance test analysis on SDN controller is done in [7]. Parameters considered are throughput, Round Trip Time (RTT) using Mininet, RYU controller, and performance on bandwidth, throughput, RTT, jitter, packet loss using RYU are calculated.…”

Section: Related Workmentioning

confidence: 99%

A Reliable Load Balancing Fault Tolerant Multi-SDN Controller approach in a typical Software Defined Network

S¹,

Sreenath²

2022

EAI Endorsed Transactions on Internet of Things

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INTRODUCTION:In the 21 st Century, we have an emerging, modernized networking approach for efficient transfer of data in the form of packets i.e Software defined Networking (SDN). It is often recognized as the network paradigm acquired by an isolated independent control plane by the means of the underlying networking interface. As the communication medium is getting rapidly increased, the usage of the number of resources are also increasing in the same ratio, this results to connectivity problem in communication networks as well. If the development in technology is gaining more interest, the resource utilization will also increase. OBJECTIVES:In the proposed work here, we need to establish the connection between the client (or the end user) and the server by calculating the network performance using the parameters such as server response time and the throughput of the network by the method of load balancing. METHODS:This paper aims to identify the new methods or techniques to improve the performance of SDN with the increase in reliability, specifically required to improve the real-time data delivery. Alternatively, a reliable disjoint, distributed Multi-SDN controller will be used, to collect the updated network information like packet size, connectivity, packet flow etc. The methods involved are ideal controller optimization technique, distruption acquiscent technique and Maximum flow shortest route technique. RESULTS:From the results obtained by the simulation, the Reliable Load balancing Fault Tolerant Multi-SDN Controller(RLFTMS) approach is more reliable, fault tolerant compared to the other existing traditional mechanisms. CONCLUSION:Load balancing based on the server response time, throughput is being compared , this improves the server workload ditribution among various datacenters. Ultimately the customers or clients will have a great experience in terms of the reducing response time and increase in the throughput.

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Section: Related Workmentioning

confidence: 99%

A Reliable Load Balancing Fault Tolerant Multi-SDN Controller approach in a typical Software Defined Network

S¹,

Sreenath²

2022

EAI Endorsed Transactions on Internet of Things

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“…The MAC address of the sender and the switch port where the packet was received are both saved by the Controller. In order to discover the recipient's MAC address and port, the controller will flood the packet [17]. The controller will then insert the flow rule for the sender and receiver into the switch's flow…”

Section: A Openflow Networkmentioning

confidence: 99%

Performance Comparison of the Proposed OpenFlow Network with the Pox Controller and the Traditional Network in Software Defined Networks (SDN)

Gautam¹,

Jha²,

Yadav³

2022

Artificial Intelligence and Communication Technologies

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The dynamic structure of today's networking system, in which the control plane is fully dispersed throughout the network and networking equipment (e.g., switches, routers) have their own local control-plane and data-plane, makes networking system management more complicated. Networking paradigm that can be programmed by separating the management function from the networking elements and putting it in a logically centralised control plane, SDN makes it simple to administer and operate this dynamic networking system. The forwarding devices are made easier by the separation of the control and data planes. A logically centralised control-plane is in charge of the control, management, and configuration of these simple forwarding devices.. SDN's control plane is frequently referred to as the network operating system. The purpose of this dissertation is to evaluate the performance of an OpenFlow enabled software defined network model with a POX controller to that of a traditional network. Mininet is a tool that is used to design and analyse traditional and programmable networks. Latency, throughput, packet loss, and jitter characteristics are used to evaluate performance.

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“…There are multiple issues associated with reliability, scalability, and flexibility in a single controller for the large scale SDN-IoT. Therefore, to overcome some of the issues mentioned above, the researchers have chosen multiple distributed controllers for load balancing on a immensescale SDN-IoT using the Ryu Controller [9]. Some items are required to identify the load balancing in SDN-IoT:…”

Section: Motivationmentioning

confidence: 99%

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

et al. 2021

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Since the worldwide Internet of Things (IoT) in smart cities is becoming increasingly popular among consumers and the business community, network traffic management is a crucial issue for optimizing the IoT ’s performance in smart cities. Multiple controllers on a immense scale implement in Software Defined Networks (SDN) in integration with Internet of Things (IoT) as an emerging paradigm enhances the scalability, security, privacy, and flexibility of the centralized control plane for smart city applications. The distributed multiple controller implementation model in SDN-IoT cannot conform to the dramatic developments in network traffic which results in a load disparity between controllers, leading to higher packet drop rate, high response time, and other problems with network performance deterioration. This paper lays the foundation on the multiple distributed controller load balancing (MDCLB) algorithm on an immense-scale SDN-IoT for smart cities. A smart city is a residential street that uses information and communication technology (ICT) and the Internet of Things (IoT) to improve its citizens’ quality of living. Researchers then propose the algorithm on the unbalancing of the load using the multiple controllers based on the parameter CPU Utilization in centralized control plane. The experimental results analysis is performed on the emulator named as mininet and validated the results in ryu controller over dynamic load balancing based on Nash bargaining, efficient switch migration load balancing algorithm, efficiency aware load balancing algorithm, and proposed algorithm (MDCLB) algorithm are executed and analyzed based on the parameter CPU Utilization which ensures that the Utilization of CPU with load balancing is 20% better than the Utilization of CPU without load balancing.

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Node to Node Performance Evaluation through RYU SDN Controller

Cited by 43 publications

References 22 publications

A Reliable Load Balancing Fault Tolerant Multi-SDN Controller approach in a typical Software Defined Network

A Reliable Load Balancing Fault Tolerant Multi-SDN Controller approach in a typical Software Defined Network

Performance Comparison of the Proposed OpenFlow Network with the Pox Controller and the Traditional Network in Software Defined Networks (SDN)

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

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