A QoS-based flow assignment for traffic engineering in software-defined networks
Conference paper
Thiruvasakan, L., Vien, Q., Loo, J. and Mapp, G. 2019. A QoS-based flow assignment for traffic engineering in software-defined networks. Barolli, L., Takizawa, M., Xhafa, F. and Enokido, T. (ed.) 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). Matsue, Japan 27 - 29 Mar 2019 Springer. pp. 762-774 https://doi.org/10.1007/978-3-030-15032-7_64
Type | Conference paper |
---|---|
Title | A QoS-based flow assignment for traffic engineering in software-defined networks |
Authors | Thiruvasakan, L., Vien, Q., Loo, J. and Mapp, G. |
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. |
Conference | 33rd International Conference on Advanced Information Networking and Applications (AINA-2019) |
Page range | 762-774 |
Proceedings Title | Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019) |
Series | Advances in Intelligent Systems and Computing |
Editors | Barolli, L., Takizawa, M., Xhafa, F. and Enokido, T. |
ISSN | 2194-5357 |
2194-5365 | |
ISBN | |
Paperback | 9783030150310 |
Electronic | 9783030150327 |
Publisher | Springer |
Publication dates | |
Online | 15 Mar 2019 |
15 Mar 2019 | |
Publication process dates | |
Deposited | 01 Apr 2019 |
Accepted | 15 Jan 2019 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | 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 |
Additional information | Published as: Thiruvasakan, L.P., Vien, QT., Loo, J., Mapp, G. (2020). A QoS-Based Flow Assignment for Traffic Engineering in Software-Defined Networks. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_64 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-15032-7_64 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-030-15032-7 |
Language | English |
https://repository.mdx.ac.uk/item/88340
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