A Survey on SDN Programming Languages: Toward a Taxonomy

Trois, Célio; Fabro, Marcos Didonet Del; Bona, Luis C. E.; Martinello, Magnos

doi:10.1109/comst.2016.2553778

Cited by 96 publications

(57 citation statements)

References 126 publications

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“…SDN allows the network devices functionalities to be defined or modified after being deployed. It presents an open architecture that makes the network configuration and management flexible and programmable, enabling new features to be added without changing the network hardware [20].…”

Section: Background and Related Workmentioning

confidence: 99%

“…Software-Defined Networking (SDN) has emerged to support new possibilities for network management, decoupling control and forwarding functions and enabling the network to become directly programmable according to the user requirements [20]. The existing works using SDN for forwarding communications through multiple paths use information collected from end-hosts or network devices [2], [6], [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Softening Up the Network for Scientific Applications

Trois

Bona

Fabro

et al. 2017

2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Softening Up the Network for Scientific Applications

Trois

Bona

Fabro

et al. 2017

2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

Self Cite

View full text Add to dashboard Cite

“…The main goal of SDN is to meet challenges existing in IP-based networks, such as complex management. In today's networks, administrators must apply many overwhelming changes to the network configurations in case of a little change in network policies, rules or topology, testing new protocols, to have a dynamic network management [1]- [4]. SDN as a comprehensive concept separates data plan (which is responsible for forwarding data packets) and control plan (which is responsible for routing, traffic engineering, and management policies) to confront limitations and challenges of today's networking [5]- [8].…”

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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“…In fact, an OpenFlow (the common standard for SDN) enabled switch is clearly far from a simple design, requiring to support lookups over hundreds of bits with complex actions that have to be specified by multiple tables [2]. Moreover, there is no decoupling between the routing and the network policy, when an SDN controller decides the functions a flow needs, it also decides the path the flow has to go through and the setup states on all the intermediate switches.…”

Section: Introductionmentioning

confidence: 99%