Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aleksandra Knapińska"'
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101946- (2024)
Traffic Weaver is a Python package developed to generate a semi-synthetic signal (time series) with finer granularity, based on averaged time series, in a manner that, upon averaging, closely matches the original signal provided. The key components u
Externí odkaz:
https://doaj.org/article/f44f0204bc034b3dba21be01154c511d
Publikováno v:
Journal of Optical Communications and Networking. 15:B42
Knowledge about the future link load is an essential issue for optical network operators, especially in the case of network failure and the restoration of affected traffic. In this paper, we study the dynamic operation of an optical network in its no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1df3eccce944a43c0f20e7addb403a0c
https://doi.org/10.1364/jocn.479849
https://doi.org/10.1364/jocn.479849
Publikováno v:
Applied Soft Computing. 130:109694
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e40b8bcf5afc04115001841c266ec77
https://doi.org/10.1016/j.asoc.2022.109694
https://doi.org/10.1016/j.asoc.2022.109694
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
Prior knowledge regarding approximated future traffic requirements allows adjusting suitable network parameters to improve the network’s performance. To this end, various analyses and traffic prediction methods assisted with machine learning techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510aaf9917930a0dd4cc6e4a83fadb9b
https://doi.org/10.1007/978-3-030-77961-0_12
https://doi.org/10.1007/978-3-030-77961-0_12
Publikováno v:
IEEE Access, Vol 12, Pp 110193-110212 (2024)
The overall network volume in backbone optical networks is constantly growing, composed of many smaller network services with increasing trends and various seasonality. Due to the recent advances in machine learning algorithms, short- and long-term t
Externí odkaz:
https://doaj.org/article/946316a305ee40acbd5f8cb75c5336ed
Publikováno v:
Electronics, Vol 10, Iss 1637, p 1637 (2021)
Electronics
Volume 10
Issue 14
Electronics
Volume 10
Issue 14
The paper studies efficient modeling and prediction of daily traffic patterns in transport telecommunication networks. The investigation is carried out using two historical datasets, namely WASK and SIX, which collect flows from edge nodes of two net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56bf68c5ac8ad6d18dd2d411bab2dd77
https://doi.org/10.3390/electronics10141637
https://doi.org/10.3390/electronics10141637
Publikováno v:
Electronics
Volume 10
Issue 12
Electronics, Vol 10, Iss 1502, p 1502 (2021)
Volume 10
Issue 12
Electronics, Vol 10, Iss 1502, p 1502 (2021)
Traffic in current networks is constantly increasing due to the growing popularity of various network services. The currently deployed backbone optical networks apply wavelength division multiplexing (WDM) techniques in single-core single-mode fibers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3841338c4a42f9f0f31ad75e5fccc05
https://doi.org/10.3390/electronics10121502
https://doi.org/10.3390/electronics10121502