Survey of traffic prediction methods for dynamic routing in overlay networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43949462" target="_blank" >RIV/49777513:23520/17:43949462 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Survey of traffic prediction methods for dynamic routing in overlay networks
Original language description
We introduce and compare methods for traffic prediction focused on dynamic routing in overlay networks and their practical usage. Overlay networks often need special routing, even when underlay networks do routing on their own. There are more unknown variables then in traditional routing approach. Dynamic routing is based on several metrics and prediction could be judged by many statistical values. All introduced methods are compared by computing costs, implementation complexity and statistical values. Main statistical quantity is MAE (mean absolute error), which presents accuracy of prediction. We apply prediction on routing model to increase quality of service. So, we can focus on final route parameters not only on prediction accuracy. Naturally, main route parameter is transfer speed, but in real life scenarios we can find examples, where it is not only one metric. Let us assume real time audio/video stream, where we are interested in lowest range of scatter to reduce flapping of stream quality. In the paper, we will discuss impact of used metrics and algorithms on final quality of service.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Informatics 2017, IEEE 14th International Scientific Conference on Informatics
ISBN
978-1-5386-0888-3
ISSN
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
339-343
Publisher name
IEEE
Place of publication
Piscataway
Event location
Poprad
Event date
Nov 14, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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