MONITORING OF LINK-LEVEL CONGESTION IN TELECOMMUNICATION SYSTEMS USING INFORMATION CRITERIA
Natalia Yakymchuk
n.yakymchuk@lntu.edu.uaLutsk National Technical University (Kazakhstan)
http://orcid.org/0000-0002-8173-449X
Yosyp Selepyna
Lutsk National Technical University (Ukraine)
http://orcid.org/0000-0002-2421-1844
Mykola Yevsiuk
Lutsk National Technical University (Ukraine)
http://orcid.org/0000-0002-3768-8959
Stanislav Prystupa
Lutsk National Technical University (Ukraine)
http://orcid.org/0000-0003-3705-1541
Serhii Moroz
Lutsk National Technical University (Ukraine)
http://orcid.org/0000-0003-4677-5170
Abstract
The successful functioning of telecommunication networks largely depends on the effectiveness of algorithms for detection and protection against overloads. The article describes the main differences that arise when forecasting, monitoring and managing congestion at the node level and at the channel level. An algorithm for detecting congestion by estimating the entropy of time distributions of traffic parameters is proposed. The entropy measures of data sets for various types of model distribution, in particular for the Pareto distribution, which optimally describes the behavior of self-similar random processes, were calculated and analyzed. The advantages of this approach include scalability, sensitivity to changes in distributions of traffic characteristics and ease of implementation and accessible interpretation.
Keywords:
telecommunication systems, self-similarity factor of network traffic, congestion detectionReferences
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Authors
Natalia Yakymchukn.yakymchuk@lntu.edu.ua
Lutsk National Technical University Kazakhstan
http://orcid.org/0000-0002-8173-449X
Authors
Yosyp SelepynaLutsk National Technical University Ukraine
http://orcid.org/0000-0002-2421-1844
Authors
Mykola YevsiukLutsk National Technical University Ukraine
http://orcid.org/0000-0002-3768-8959
Authors
Stanislav PrystupaLutsk National Technical University Ukraine
http://orcid.org/0000-0003-3705-1541
Authors
Serhii MorozLutsk National Technical University Ukraine
http://orcid.org/0000-0003-4677-5170
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