Dynamic Migration of Real-Time Traffic Flows in SDN-Enabled Networks

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URI: http://hdl.handle.net/10900/100407
Dokumentart: ConferenceObject
Date: 2020-05-08
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Informatik
DDC Classifikation: 004 - Data processing and computer science
Keywords: Software-defined networking
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
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In this paper, we investigate the problem of dynamic migration for realtime traffic flows, which consists in accommodating new flows at runtime in SDN-enabled networks. We show results for two algorithms that can calculate direct and indirect flow migrations at runtime. Numerical results obtained on a FatTree network topology show that flow migration is typically required for networks with a modest number of flows, while direct flow migration is possible in about 60% of the cases.

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