Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bartosz Kadziolka"'
Publikováno v:
IEEE Access, Vol 12, Pp 158561-158578 (2024)
This paper investigates the application of tree-based machine learning classifiers for flow-based traffic engineering, focusing on the binary classification of IP network flows into mice (short flows) and elephants (long flows) using 5-tuple header f
Externí odkaz:
https://doaj.org/article/b164ec6d6d3b41c3b763848a13e0c07c
Autor:
Piotr Borylo, Edyta Biernacka, Jerzy Domzal, Bartosz Kadziolka, Miroslaw Kantor, Krzysztof Rusek, Maciej Skala, Krzysztof Wajda, Robert Wojcik, Wojciech Zabek
Publikováno v:
IEEE Access, Vol 12, Pp 132856-132890 (2024)
As a consequence of increased complexity, technical requirements of services and expectations of end-users, telecommunication networks and systems must still increase their efficiency. Research currently focuses on introducing automation and intellig
Externí odkaz:
https://doaj.org/article/061d9370b837455bb5123dc718b8f7c2
Publikováno v:
IEEE Access, Vol 12, Pp 105744-105760 (2024)
In this paper, we explore the applicability of selected machine learning models to classify incoming flows as elephants or mice on the first packet, using Internet Protocol (IP) and transport layer headers (5-tuple). We show that traditional metrics
Externí odkaz:
https://doaj.org/article/ffd3d6fb88d647fbae299b180aac60d9
Publikováno v:
IEEE Access, Vol 12, Pp 65298-65309 (2024)
Quick and accurate identification of the largest flows in the network would allow for the management of most traffic using dedicated, flow-specific routes and policies, thereby significantly reducing the overall number of entries in switch flow table
Externí odkaz:
https://doaj.org/article/e1972a2e68a44b90a0f51588b1b10bc0
Employing FAMTAR and AHB to Achieve an Optical Resource-Efficient Multilayer IP-Over-EON SDN Network
Publikováno v:
IEEE Access, Vol 10, Pp 94089-94099 (2022)
With the global Internet traffic continuously growing, network operators face more and more challenges related to the management of their networks. Efficient utilization of the available network resources becomes crucial to maintain the desired Quali
Externí odkaz:
https://doaj.org/article/2e2c620d0472442f89773a61cc18822a
Publikováno v:
Acta Angiologica. 21:99-103
Occlusion of the intracranial arteries is the cause of up to 80% of ischaemic strokes. Of these, 1% are caused by occlusion of the basilar artery. There are currently two methods for treating the acute phase of ischemic stroke: intravenous thrombolys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f71e879786e00b8aae0c964e5ce78752
https://doi.org/10.5603/aa.2015.0015
https://doi.org/10.5603/aa.2015.0015
Autor:
Taschner, Christian A., Stracke, Christian Paul, Dorn, Franziska, Bartosz Kadziolka, Krzysztof, Kreiser, Kornelia, Solymosi, László, Pham, Mirko, Buhk, Jan Hendrik, Turowski, Bernd, Reith, Wolfgang, Elsheikh, Samer, Meckel, Stephan, Janssen, Hendrik, Hammer, Alexander, Beuing, Oliver, Jansen, Olav, Urbach, Horst, Knauth, Michael, Jenkner, Carolin, Chapot, René
Publikováno v:
Journal of NeuroInterventional Surgery; Jun2021, Vol. 13 Issue 6, p541-546, 6p
Publikováno v:
Entropy, Vol 26, Iss 7, p 537 (2024)
Rapid and precise detection of significant data streams within a network is crucial for efficient traffic management. This study leverages the TabNet deep learning architecture to identify large-scale flows, known as elephant flows, by analyzing the
Externí odkaz:
https://doaj.org/article/628ba88d0d544dc0a2d73906fbe152e4