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Title: Traffic Engineering in Software Defined Networks: A Survey, Journal of Telecommunications and Information Technology, 2016, nr 4

Creator:

Guleria, Ajay ; Abbasi, Mohammad Reza ; Devi, Mandalika S.

Date:

2016, nr 4

Resource Type:

artykuł

Description:

An important technique to optimize a network and improve network robustness is traffic engineering. As traffic demand increases, traffic engineering can reduce servicedegradation and failure in the network. To allow a network to adapt to changes in the traffic pattern, the research community proposed several traffic engineering techniques for the traditional networking architecture. However, the traditional network architecture is difficult to manage. Software Defined Networking (SDN) is a new networking model, which decouples the control plane and data plane of the networking devices. It promises to simplify network management, introduces network programmability, and provides a global view of network state. To exploit the potential of SDN, new traffic engineering methods are required. This paper surveys the state of the art in traffic engineering techniques with an emphasis on traffic engineering for SDN. It focuses on some of the traffic engineering methods for the traditional network architecture and the lessons that can be learned from them for better traffic engineering methods for SDN-based networks. This paper also explores the research challenges and futuredirections for SDN traffic engineering solutions.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1951

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

traffic engineering Software Defined Networking application awareness

Object collections:

Last modified:

Jan 10, 2017

In our library since:

Jan 10, 2017

Number of object content hits:

1 523

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2227

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Edition name Date
Abbasi, Mohammad Reza; Guleria, Ajay; Devi, Mandalika S., Traffic Engineering in Software Defined Networks: A Survey, Journal of Telecommunications and Information Technology, 2016, nr 4 Jan 10, 2017

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