Version 1
: Received: 17 November 2018 / Approved: 20 November 2018 / Online: 20 November 2018 (08:24:28 CET)
How to cite:
Alkasassbeh, M.; Al-Naymat, G.; Alauthman, M.; Ednat, E. Optimizing Traffic Engineering in Software Defined Networking. Preprints2018, 2018110486. https://doi.org/10.20944/preprints201811.0486.v1
Alkasassbeh, M.; Al-Naymat, G.; Alauthman, M.; Ednat, E. Optimizing Traffic Engineering in Software Defined Networking. Preprints 2018, 2018110486. https://doi.org/10.20944/preprints201811.0486.v1
Alkasassbeh, M.; Al-Naymat, G.; Alauthman, M.; Ednat, E. Optimizing Traffic Engineering in Software Defined Networking. Preprints2018, 2018110486. https://doi.org/10.20944/preprints201811.0486.v1
APA Style
Alkasassbeh, M., Al-Naymat, G., Alauthman, M., & Ednat, E. (2018). Optimizing Traffic Engineering in Software Defined Networking. Preprints. https://doi.org/10.20944/preprints201811.0486.v1
Chicago/Turabian Style
Alkasassbeh, M., Mohammad Alauthman and Esra Ednat. 2018 "Optimizing Traffic Engineering in Software Defined Networking" Preprints. https://doi.org/10.20944/preprints201811.0486.v1
Abstract
The digital society is an outcome of the Internet which has nearly made everything connected and accessible no matter where or when. Nevertheless, despite the fact that conventional IP networks are complicated and very hard to manage, they are still widely adopted. The already established policies make the network configuration/reconfiguration a complex process that reacts to errors, load, and modifications. The prevailing networks are vertically integrated which makes things more and more complicated: Data planes and control are strapped together. Software-defined networking is a model that is meant to solve this issue by splitting the vertical integration and detaching the network’s control logic from the implicit routers and switches; this could be achieved by reinforcing centralization of network control and making the network programmable. In this work, we worked to implement MPLS networks with SDN, to enhance the traffic engineering over the network, and to minimize the network delay and latency, with minimum cost using three of the different SDN networks. The experiment results showed the advantage of the proposed approach for reducing the network delay, comparing with previous studies. Where the average of network delay in our approach reaches to 3.01 milliseconds.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
