Application tool for prediction and implementation of QoS in IP based network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86094282" target="_blank" >RIV/61989100:27240/15:86094282 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-21206-7_13" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-21206-7_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-21206-7_13" target="_blank" >10.1007/978-3-319-21206-7_13</a>
Alternative languages
Result language
angličtina
Original language name
Application tool for prediction and implementation of QoS in IP based network
Original language description
This paper deals with the application able to predict the quality of Triple play services in the network. Our previous results led to the creation of mathematical models for each service type (voice, video and data), and the application offered fast calculation of reached quality according to the objective evaluation methods. Because our application is still being developed and tested, the version described here offers a new features and measurement parameters. The verification of results was performedon two the most common network infrastructure vendors (Cisco and Huawei) and new codecs were included too. The application can not only predict QoS parameters, but also generate the source code of particular QoS policy setting according to the user interaction and apply the selected policy to the routers in the network. The contribution of this paper lies in designing an extended version of SW tool capable of predicting the quality of Triple-play services in networks and configuring QoS
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Soft Computing. Volume 370
ISBN
978-3-319-21205-0
ISSN
1615-3871
e-ISSN
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Number of pages
11
Pages from-to
143-153
Publisher name
Springer Verlag
Place of publication
London
Event location
Ostrava
Event date
Jun 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000365130300013