A traffic-aware controller design for next generation software defined networks

Arslan, Zemre; Alemdaroglu, Arda; Canberk, Berk

doi:10.1109/blackseacom.2013.6623403

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…SDN overcomes many challenges with a flexible and programmable configurations [2]. Intelligence decisions given by a centralized controller can overcome the complexity of the many task by providing efficient solutions.…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Management Model for Energy-Aware Vehicular Networks

Bozkaya¹,

Canberk²

2017

EAI Endorsed Transactions on Wireless Spectrum

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This paper investigates the energy efficiency of Road Side Units (RSUs) by proposing a novel flow and energy management model in Software-Defined Networking (SDN)-based vehicular networks. In the considered scenario, high vehicular mobility and limited coverage area of RSUs cause a degradation in Quality of Experience (QoE) of vehicles and this significantly affects the quality of communication by decreasing the percentage of flow satisfied. In addition, the growth in energy consumption of RSUs leads to inefficient network management. Being inspired from SDN, a centralized controller can schedule RSUs by providing a fair share of network resources and reduce the total energy consumption of RSUs by switching on/off. More specifically, in this paper, the controller classifies to vehicles based on QoE and defines unsatisfactory vehicles. Then the controller estimates the right amount of power level of these vehicles to connect a new assigned RSU. In this manner, RSUs can be scheduled by switching on/off so that the growth in energy consumption of RSUs can be managed. The evaluations show that the proposed model provides a better flow satisfied and throughput by guaranteeing energy efficiency in SDN-based vehicular networks.

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Section: Introductionmentioning

confidence: 99%

Software-Defined Management Model for Energy-Aware Vehicular Networks

Bozkaya¹,

Canberk²

2017

EAI Endorsed Transactions on Wireless Spectrum

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“…Some of the aspects that have to be further investigated are flow management between autonomous systems (similar to BGF, OSPF, etc. in today's Internet) and higherlevel ones like peering policies, peak-usage scheduling and route-based prioritization [6]. An SDX should also incorporate SDN advantages such as complete resource virtualization, real-time traffic analysis, centralized control, plug-and-play hardware integration, security and third-party control services.…”

Section: Introductionmentioning

confidence: 99%

A measurement architecture for Software Defined Exchanges

Zink

2014

2014 First International Science and Technology Conference (Modern Networking Technologies) (MoNeTeC)

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Prototype deployments of Software Defined Exchanges (SDX) have recently come into existence as a platform for Future Internet architecture to eliminate the need for core routing technology used in today's Internet. In this paper, we motivate the need for an adequate measurement architecture for such SDXes to be able to evaluate their performance and inform further development. We present the major requirements for this architecture, introduce the idea of SDX and its first prototypes, and give an overview on a SDX measurement experiment we recently conducted.978-1-4799-7595-2/14/$31.00 ©2014 IEEE

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“…Arsalan et al [16] proposed a framework to determine the application type of existing flows in a wireless network, which consist of several mobile devices connected to an OF switch. In control plan, a machine learning-based trainer receives the information.…”

Section: Introductionmentioning

confidence: 99%

Network Traffic Classification using Machine Learning Techniques over Software Defined Networks

Parsaei¹,

Sobouti²,

Khayami³

et al. 2017

ijacsa

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Abstract-Nowadays Internet does not provide an exchange of information between applications and networks, which may results in poor application performance. Concepts such as application-aware networking or network-aware application programming try to overcome these limitations. The introduction of Software-Defined Networking (SDN) opens a path towards the realization of an enhanced interaction between networks and applications. SDN is an innovative and programmable networking architecture, representing the direction of the future network evolution. Accurate traffic classification over SDN is of fundamental importance to numerous other network activities, from security monitoring to accounting, and from Quality of Service (QoS) to providing operators with useful forecasts for long-term provisioning. In this paper, four variants of Neural Network estimator are used to categorize traffic by application. The proposed method is evaluated in the four scenarios: feedforward; Multilayer Perceptron (MLP); NARX (LevenbergMarquardt) and NARX (Naïve Bayes). These scenarios respectively provide accuracy of 95.6%, 97%, 97% and 97.6%.

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A traffic-aware controller design for next generation software defined networks

Cited by 7 publications

References 11 publications

Software-Defined Management Model for Energy-Aware Vehicular Networks

Software-Defined Management Model for Energy-Aware Vehicular Networks

A measurement architecture for Software Defined Exchanges

Network Traffic Classification using Machine Learning Techniques over Software Defined Networks

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