Analyzing the effectiveness of dynamic network slicing procedure in 5g network by queuing and simulation models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU144168" target="_blank" >RIV/00216305:26220/20:PU144168 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/978-3-030-65726-0.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/978-3-030-65726-0.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-65726-0_7" target="_blank" >10.1007/978-3-030-65726-0_7</a>
Alternative languages
Result language
angličtina
Original language name
Analyzing the effectiveness of dynamic network slicing procedure in 5g network by queuing and simulation models
Original language description
In this paper, we propose three metrics that could be used for accessing the effectiveness of a dynamic Network Slicing. On the one hand re-slicing could result in more adaptive resource allocation for different virtual network operators (VNO), but could arise the signaling overhead. On the other hand an insufficient amount of re-slicing could significantly decrease the quality of service for VNO users, but reduce the signaling delays. Proposed metrics could be used for analyzing the abovementioned effect. We illustrate the metrics by the simulation model for a simple dynamic network slicing algorithm. We also propose a queuing system approach for analyzing dynamic network slicing for 2 VNOs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
15
Pages from-to
71-85
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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