Analytical model for software defined network considering memory node for routing rules

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU144169" target="_blank" >RIV/00216305:26220/20:PU144169 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/978-3-030-65729-1.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/978-3-030-65729-1.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-65729-1_4" target="_blank" >10.1007/978-3-030-65729-1_4</a>

Result language
angličtina
Original language name
Analytical model for software defined network considering memory node for routing rules
Original language description
In this work a software defined network (SDN) is studied as a queueing network. The main point of the system is that the switch memory node, storing routing rules is modeled separately. The memory node impacts the distribution of the newly arrived packets among the other nodes. In this work we propose analytical and simulation model to analyze the performance of the considered network. Analytical model covers a simplified network case with one flow type, while simulation model let us analyze a general-case of SDN network segment with multiple flow types.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
ISBN
9783030657253
ISSN
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e-ISSN
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Number of pages
17
Pages from-to
39-55
Publisher name
Springer
Place of publication
Švýcarsko
Event location
St. Petersburg
Event date
Aug 26, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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