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== Abstract ==
Internet traffic is generated by a multitude of applications, each one with diverse service requirements in terms of bandwidth, latency, reliability, etc. Today traffic engineering techniques can provide service differentiation at the IP/MPLS layer, but not at the optical layer. In this paper we propose a framework where application service requirements drive a dynamic multi-layer (IP/MPLS and optical) resource allocation and optimization. We compare by means of simulations such application-aware algorithmic framework with a multi-layer but application-unaware strategy. Results show that the application-aware approach, unlike the application-unaware one, is always able to guarantee the specified service requirements to those applications whose generated traffic is accepted by the network. In addition, the application-aware strategy does not consume more network resources than the application-unaware one, but only requires a network that is more dynamic and responsive.
== Original document ==
The different versions of the original document can be found in:
* [http://dx.doi.org/10.1109/eucnc.2017.7980661 http://dx.doi.org/10.1109/eucnc.2017.7980661]
* [http://hdl.handle.net/10281/273151 http://hdl.handle.net/10281/273151]
* [https://boa.unimib.it/bitstream/10281/273151/1/ACINO_WP3_EuCNC_2017.pdf https://boa.unimib.it/bitstream/10281/273151/1/ACINO_WP3_EuCNC_2017.pdf]
* [http://xplorestaging.ieee.org/ielx7/7972783/7980636/07980661.pdf?arnumber=7980661 http://xplorestaging.ieee.org/ielx7/7972783/7980636/07980661.pdf?arnumber=7980661],
: [http://dx.doi.org/10.1109/eucnc.2017.7980661 http://dx.doi.org/10.1109/eucnc.2017.7980661]
* [https://ieeexplore.ieee.org/document/7980661 https://ieeexplore.ieee.org/document/7980661],
: [https://boa.unimib.it/handle/10281/273151 https://boa.unimib.it/handle/10281/273151],
: [https://dblp.uni-trier.de/db/conf/eucnc/eucnc2017.html#SaviRMKST17 https://dblp.uni-trier.de/db/conf/eucnc/eucnc2017.html#SaviRMKST17],
: [http://ieeexplore.ieee.org/document/7980661 http://ieeexplore.ieee.org/document/7980661],
: [https://doi.org/10.1109/EuCNC.2017.7980661 https://doi.org/10.1109/EuCNC.2017.7980661],
: [https://academic.microsoft.com/#/detail/2735302922 https://academic.microsoft.com/#/detail/2735302922]
Return to Matrakidis et al 2017a.
Published on 01/01/2017
Volume 2017, 2017
DOI: 10.1109/eucnc.2017.7980661
Licence: CC BY-NC-SA license
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