Conference Paper/Proceeding/Abstract 649 views 69 downloads
Towards Taxonomy of Telecommunication Network Metrics
2017 European Modelling Symposium (EMS)
Swansea University Author: Pavel Loskot
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DOI (Published version): 10.1109/ems.2017.46
Abstract
The metrics and measurements play a crucial role in the whole lifecycle of telecommunication networks. The number of metrics being considered for modern telecommunication systems supporting digital or computing infrastructures has grown exponentially. It requires sophisticated systems for the metric...
Published in: | 2017 European Modelling Symposium (EMS) |
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Published: |
Manchester, UK
IEEE
2017
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Online Access: |
http://dx.doi.org/10.1109/ems.2017.46 |
URI: | https://cronfa.swan.ac.uk/Record/cronfa38163 |
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v2 38163 2018-01-17 Towards Taxonomy of Telecommunication Network Metrics bc7cba9ef306864239b9348c3aea4c3e 0000-0002-2773-2186 Pavel Loskot Pavel Loskot true false 2018-01-17 EEN The metrics and measurements play a crucial role in the whole lifecycle of telecommunication networks. The number of metrics being considered for modern telecommunication systems supporting digital or computing infrastructures has grown exponentially. It requires sophisticated systems for the metrics management which are under development by the industry consortia. For many research tasks, it would be sufficient to identify a relatively small number of recommended metrics to achieve more consistent evaluations of the system performance. There are still many unsolved problems in this area including defining the optimum modeling strategies and the metrics optimality. This paper explores a landscape of the most commonly used telecommunication and computing metrics to illuminate what metrics are available. Conference Paper/Proceeding/Abstract 2017 European Modelling Symposium (EMS) IEEE Manchester, UK 1 11 2017 2017-11-01 10.1109/ems.2017.46 http://dx.doi.org/10.1109/ems.2017.46 COLLEGE NANME Engineering COLLEGE CODE EEN Swansea University 2023-06-02T15:04:21.8501620 2018-01-17T10:35:59.8053933 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Salman Al-Shehri 1 Pavel Loskot 0000-0002-2773-2186 2 Tolga Numanoglu 3 Mehmet Mert 4 0038163-17012018103806.pdf al-shehri2017.pdf 2018-01-17T10:38:06.9930000 Output 100050 application/pdf Accepted Manuscript true 2018-01-17T00:00:00.0000000 true eng |
title |
Towards Taxonomy of Telecommunication Network Metrics |
spellingShingle |
Towards Taxonomy of Telecommunication Network Metrics Pavel Loskot |
title_short |
Towards Taxonomy of Telecommunication Network Metrics |
title_full |
Towards Taxonomy of Telecommunication Network Metrics |
title_fullStr |
Towards Taxonomy of Telecommunication Network Metrics |
title_full_unstemmed |
Towards Taxonomy of Telecommunication Network Metrics |
title_sort |
Towards Taxonomy of Telecommunication Network Metrics |
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bc7cba9ef306864239b9348c3aea4c3e |
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bc7cba9ef306864239b9348c3aea4c3e_***_Pavel Loskot |
author |
Pavel Loskot |
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Salman Al-Shehri Pavel Loskot Tolga Numanoglu Mehmet Mert |
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Conference Paper/Proceeding/Abstract |
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2017 European Modelling Symposium (EMS) |
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2017 |
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Swansea University |
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10.1109/ems.2017.46 |
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IEEE |
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Faculty of Science and Engineering |
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description |
The metrics and measurements play a crucial role in the whole lifecycle of telecommunication networks. The number of metrics being considered for modern telecommunication systems supporting digital or computing infrastructures has grown exponentially. It requires sophisticated systems for the metrics management which are under development by the industry consortia. For many research tasks, it would be sufficient to identify a relatively small number of recommended metrics to achieve more consistent evaluations of the system performance. There are still many unsolved problems in this area including defining the optimum modeling strategies and the metrics optimality. This paper explores a landscape of the most commonly used telecommunication and computing metrics to illuminate what metrics are available. |
published_date |
2017-11-01T15:04:20Z |
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1767599935766659072 |
score |
11.035874 |