Scalability analysis and flow admission control in mininet-based SDN environment

Erel, Muge; Teoman, Emre; Özçevik, Yusuf; Secinti, Gokhan; Canberk, Berk

doi:10.1109/nfv-sdn.2015.7387396

Cited by 28 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In phase three, the QoE estimation experiments were carried out using measurement instruments and the analysis of the results (Figure 1). emulate the behavior of this type of network [12]. For virtualization, docker was chosen due to its low resource consumption and ease of creating containers.…”

Section: Methodsmentioning

confidence: 99%

Construction of a Video Transmission Scenario in Software-Defined Networks for QoE Estimation

2022

View full text Add to dashboard Cite

The services supported by data networks have become widespread, so the architectures of the new data networks are service-oriented. They are endowed with intelligence, flexibility, and programmability. The preceding is with the aim of providing acceptability by users. Thus, this paper presents the construction of a video transmission scenario over a software-defined network (SDN, Software-Defined Networking) using free software and modifying its behavior with background traffic, on which the Quality of Experience (QoE) is estimated. Subjective and objective metrics were used for the QoE estimation. For the first one, the Mean Opinion Score (MOS) was used, while the second one was studied with the Full Reference Image Quality Assessment (FR-IQA). Finally, a correlation between the two types of metrics was proposed.

show abstract

Section: Methodsmentioning

confidence: 99%

Construction of a Video Transmission Scenario in Software-Defined Networks for QoE Estimation

2022

View full text Add to dashboard Cite

show abstract

“…[9] is a family of protocols that achieve deterministic minimum delay in a nondeterministic Ethernet; software-defined networking (SDN) is a new network architecture. It enables the separation of the data plane from the control plane and the programmability of control [10]. It can monitor the global network state and implement management [11].…”

Section: Routing Algorithmsmentioning

confidence: 99%

TSN Switch Queue Length Prediction Based on an Improved LSTM Network

Wang

Shang

Xia

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

With the high-speed development of network technology, time-sensitive networks (TSNs) are experiencing a phase of significant traffic growth. At the same time, they have to ensure that highly critical time-sensitive information can be transmitted in a timely and accurate manner. In the future, TSNs will have to further improve network throughput to meet the increasing traffic demand based on the guaranteed transmission delay. Therefore, an efficient route scheduling scheme is necessary to achieve network load balance and improve network throughput. A time-sensitive software-defined network (TSSDN) can address the highly distributed industrial Internet network infrastructure, which cannot be accomplished by traditional industrial communication technologies, and it can achieve distributed intelligent dynamic route scheduling of the network through global network monitoring. The prerequisite for intelligent dynamic scheduling is that the queue length of future switches can be accurately predicted so that dynamic route planning for flow can be performed based on the prediction results. To address the queue length prediction problem, we propose a TSN switch queue length prediction model based on the TSSDN architecture. The prediction process has three steps: network topology dimension reduction, feature selection, and training prediction. The principal component analysis (PCA) algorithm is used to reduce the dimensionality of the network topology to eliminate unnecessary redundancy and overlap of relevant information. Feature selection requires comprehensive consideration of the influencing factors that affect the switch queue length, such as time and network topology. The training prediction is performed with the help of our enhanced long short-term memory (LSTM) network. The input-output structure of the network is changed based on the extracted features to improve the prediction accuracy, thus predicting the network congestion caused by bursty traffic. Finally, the results of the simulation demonstrate that our proposed TSN switch queue length prediction model based on the improved LSTM network algorithm doubles the prediction accuracy compared to the original model because it considers more influencing factors as features in the neural network for training and learning.

show abstract

“…Específicamente, OFM es una parte del controlador SDN de Cisco (Open SDN Controller) que permite el diseño de tablas de flujo, recopilación de estadísticas, obtención de una visión global de la topología de red y gestión de recursos a partir de los tipos de servicios que se desplieguen en la red. En otra instancia, para el escenario SDN emulado se usa Mininet, conectado a ODL y OFM como entorno de emulación [16].…”

Section: Materiales Y Métodosunclassified

Análisis de QoS para IPTV en un Entorno de Redes Definidas por Software

Valencia

Muñoz

Golondrino³

2019

rev.ing.univ.Medellin

View full text Add to dashboard Cite

El despliegue masivo de servicios, soportados en la tecnología del videostreaming, trae consigo la expansión de redes de datos y el crecimiento del ancho de banda necesario para transportar la información. Esto, a su vez, demanda mayores capacidades de control y gestión de red que permitan garantizar calidad de servicio (QoS) al usuario final. Tal demanda ha impulsado la innovación de las arquitecturas de red. Surgen así las redes definidas por software (SDN), paradigma de arquitectura de red donde se desacoplan los planos de datos y control. Así, este artículo analiza, para uno de los servicios de videostreaming, como lo es la televisión sobre el protocolo IP (IPTV), las métricas de QoS sobre una red SDN real y emulada. Los resultados demuestran que es posible igualar la QoS de una arquitectura convencional, ofreciendo otras ventajas a la red como la lógica centralizada y programabilidad desde el plano de gestión.

show abstract

Scalability analysis and flow admission control in mininet-based SDN environment

Cited by 28 publications

References 6 publications

Construction of a Video Transmission Scenario in Software-Defined Networks for QoE Estimation

Construction of a Video Transmission Scenario in Software-Defined Networks for QoE Estimation

TSN Switch Queue Length Prediction Based on an Improved LSTM Network

Análisis de QoS para IPTV en un Entorno de Redes Definidas por Software

Contact Info

Product

Resources

About