Data-driven network analytics and network optimisation in SDN-based programmable optical networks

Shuangyi Yan; Reza Nejabati; Dimitra Simeonidou

Data-driven network analytics and network optimisation in SDN-based programmable optical networks

Shuangyi Yan, Reza Nejabati, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

14 Citations (Scopus)

389 Downloads (Pure)

Abstract

5G, IoT and other emerging network applications drive the future optical network to be more flexible and dynamic. Fully awareness of current network status is critical for better network programming in short timescale. In this paper, the centralized network database with network monitoring data and network confi�guration information enables network analytics application to support the future dynamic and programmable optical network.

Original language	English
Title of host publication	2018 22nd International Conference on Optical Network Design and Modeling (ONDM 2018)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	234-238
Number of pages	5
ISBN (Print)	9783903176072
Publication status	Published - 15 May 2018
Event	ONDM 2018 - Trinity College Dublin, Dublin, Ireland Duration: 14 May 2018 → 17 May 2018

Conference

Conference	ONDM 2018
Country/Territory	Ireland
City	Dublin
Period	14/05/18 → 17/05/18

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ONDM at https://ondm2018.scss.tcd.ie/ . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 1.31 MB

https://ondm2018.scss.tcd.ie/

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METRO-HAUL
Nejabati, R. (Principal Investigator)
1/06/17 → 30/09/20
Project: Research, Parent
Optical layer abstraction
Simeonidou, D. (Principal Investigator)
31/12/14 → 31/12/18
Project: Research

Cite this

@inproceedings{878793ddd9e84d5daba0ec3cf66844b2,

title = "Data-driven network analytics and network optimisation in SDN-based programmable optical networks",

abstract = "5G, IoT and other emerging network applications drive the future optical network to be more flexible and dynamic. Fully awareness of current network status is critical for better network programming in short timescale. In this paper, the centralized network database with network monitoring data and network confi�guration information enables network analytics application to support the future dynamic and programmable optical network.",

author = "Shuangyi Yan and Reza Nejabati and Dimitra Simeonidou",

year = "2018",

month = may,

day = "15",

language = "English",

isbn = "9783903176072",

pages = "234--238",

booktitle = "2018 22nd International Conference on Optical Network Design and Modeling (ONDM 2018)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "ONDM 2018 ; Conference date: 14-05-2018 Through 17-05-2018",

}

Yan, S, Nejabati, R & Simeonidou, D 2018, Data-driven network analytics and network optimisation in SDN-based programmable optical networks. in 2018 22nd International Conference on Optical Network Design and Modeling (ONDM 2018). Institute of Electrical and Electronics Engineers (IEEE), pp. 234-238, ONDM 2018, Dublin, Ireland, 14/05/18. <https://ondm2018.scss.tcd.ie/>

Data-driven network analytics and network optimisation in SDN-based programmable optical networks. / Yan, Shuangyi; Nejabati, Reza; Simeonidou, Dimitra.
2018 22nd International Conference on Optical Network Design and Modeling (ONDM 2018). Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 234-238.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Data-driven network analytics and network optimisation in SDN-based programmable optical networks

AU - Yan, Shuangyi

AU - Nejabati, Reza

AU - Simeonidou, Dimitra

PY - 2018/5/15

Y1 - 2018/5/15

N2 - 5G, IoT and other emerging network applications drive the future optical network to be more flexible and dynamic. Fully awareness of current network status is critical for better network programming in short timescale. In this paper, the centralized network database with network monitoring data and network confi�guration information enables network analytics application to support the future dynamic and programmable optical network.

AB - 5G, IoT and other emerging network applications drive the future optical network to be more flexible and dynamic. Fully awareness of current network status is critical for better network programming in short timescale. In this paper, the centralized network database with network monitoring data and network confi�guration information enables network analytics application to support the future dynamic and programmable optical network.

M3 - Conference Contribution (Conference Proceeding)

SN - 9783903176072

SP - 234

EP - 238

BT - 2018 22nd International Conference on Optical Network Design and Modeling (ONDM 2018)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - ONDM 2018

Y2 - 14 May 2018 through 17 May 2018

ER -

Data-driven network analytics and network optimisation in SDN-based programmable optical networks

Abstract

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Projects

METRO-HAUL

Optical layer abstraction

Cite this