Scipediacontent: Scipediacontent moved page Draft Content 178553236 to Thiruvasakan et al 2019b

2021-02-01T22:05:58Z

Scipediacontent moved page Draft Content 178553236 to Thiruvasakan et al 2019b

Scipediacontent: Created page with " == 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 dep..."

2021-02-01T22:05:54Z

Created page with " == 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 dep..."

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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.

== Original document ==

The different versions of the original document can be found in:

* [https://eprints.mdx.ac.uk/26337/1/FlowOptimization_SDN_Conference_181218.pdf https://eprints.mdx.ac.uk/26337/1/FlowOptimization_SDN_Conference_181218.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-030-15032-7_64 http://link.springer.com/content/pdf/10.1007/978-3-030-15032-7_64],
: [http://dx.doi.org/10.1007/978-3-030-15032-7_64 http://dx.doi.org/10.1007/978-3-030-15032-7_64] under the license http://www.springer.com/tdm

* [https://dblp.uni-trier.de/db/conf/aina/aina2019.html#ThiruvasakanVLM19 https://dblp.uni-trier.de/db/conf/aina/aina2019.html#ThiruvasakanVLM19],
: [http://eprints.mdx.ac.uk/26337 http://eprints.mdx.ac.uk/26337],
: [https://link.springer.com/chapter/10.1007%2F978-3-030-15032-7_64 https://link.springer.com/chapter/10.1007%2F978-3-030-15032-7_64],
: [http://repository.uwl.ac.uk/id/eprint/6590 http://repository.uwl.ac.uk/id/eprint/6590],
: [https://academic.microsoft.com/#/detail/2928854725 https://academic.microsoft.com/#/detail/2928854725]

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Thiruvasakan et al 2019b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 178553236 to Thiruvasakan et al 2019b

Scipediacontent: Created page with " == 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 dep..."