A QoS-based flow assignment for traffic engineering in software-defined networks

Thiruvasakan, Lakshmi Priya, Vien, Quoc-Tuan, Loo, Jonathan and Mapp, Glenford E. (2019) A QoS-based flow assignment for traffic engineering in software-defined networks. In: 33rd International Conference on Advanced Information Networking and Applications (AINA-2019), 27-29 Mar 2019, Matsue, Japan.

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Abstract

In order to meet a tremendous amount of data storage requirement in next-generation wireless networks, an increasing number of cloud data centers has been deployed around the world. The underlying core networks are expected to provide the ability to store data in a dynamic and scalable computing environment. The traditional Internet Protocol (IP) has shown to be restricted due to its static architecture, which accordingly motivates the development of Software-Defined Networks (SDNs). In the SDNs, Traffic Engineering (TE) is simpler and programmable with a controller without the requirement of reconfiguration for all network devices. However, the existing TE algorithm of the SDNs rejects a number of requested flows caused by their undetermined routing paths where only flow bandwidth is considered in path determination. This paper proposes a Quality-of-Service (QoS) based Flow Assignment algorithm which enables the computation of end-to-end path for traffic flows guaranteeing the QoS requirements including bandwidth, end-to-end delay and packet loss probability. Through the Open Source Hybrid IP/SDNs platform, the proposed algorithm is validated and shown to significantly reduce flow rejection rate of up to 50% compared to the conventional approach, and therefore can be used to implement an effective DiffServ mechanism for flow allocation in the SDNs.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published as: Thiruvasakan, Lakshmi Priya, Vien, Quoc-Tuan, Loo, Jonathan and Mapp, Glenford E. (2019) A QoS-based flow assignment for traffic engineering in software-defined networks. In: Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). Barolli, Leonard, Takizawa, Makoto, Xhafa, Fatos and Enokido, Tomoya, eds. Advances in Intelligent Systems and Computing, 926 . Springer International Publishing, pp. 762-774. ISBN 9783030150310
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 26337
Notes on copyright: This is a post-peer-review, pre-copyedit version of an paper published in Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-15032-7_64
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Depositing User: Quoc-Tuan Vien
Date Deposited: 01 Apr 2019 15:18
Last Modified: 09 Apr 2019 10:41
URI: https://eprints.mdx.ac.uk/id/eprint/26337

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