Monitoring of link-level congestion in telecommunication systems using information criteria

• Autorzy: Yakymchuk Natalia , Selepyna Yosyp , Yevsiuk Mykola , Prystupa Stanislav , Moroz Serhii

Identyfikatory

DOI

10.35784/iapgos.3076

Warianty tytułu

PL

Monitorowanie przeciążeń na poziomie łącza w systemach telekomunikacyjnych z wykorzystaniem kryteriów informacyjnych

• Języki publikacji: EN

Abstrakty

EN

The successful functioning of telecommunication networks largely depends on the effectiveness of algorithms for detection andprotection against overloads. The article describes the main differences that arise when forecasting, monitoring and managing congestion at the node levelandat 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 behaviorof self-similar random processes, were calculated and analyzed. The advantages of this approach include scalability, sensitivity to changes in distributionsof traffic characteristics and ease of implementation and accessible interpretation.

PL

Pomyślne funkcjonowanie sieci telekomunikacyjnych w dużej mierze zależy od skuteczności algorytmów wykrywania i ochrony przedprzeciążeniami. W artykule opisano główne różnice, jakie pojawiają się przy prognozowaniu, monitorowaniu i zarządzaniu przeciążeniami na poziomie węzła i na poziomie kanału. Zaproponowano algorytm wykrywania przeciążeń poprzez estymację entropii rozkładów czasowych parametrów ruchu. Obliczono i przeanalizowano miary entropii zbiorów danych dla różnych typów rozkładów modelowych, w szczególności dla rozkładu Pareto,który optymalnie opisuje zachowanie samopodobnych procesów losowych. Do zalet tego podejścia należy skalowalność, wrażliwość na zmiany rozkładów parametrów ruchu oraz łatwość implementacji i przystępnej interpretacji.

Słowa kluczowe

EN

telecommunication systems; self-similarity factor of network traffic; congestion detection

PL

systemy telekomunikacyjne; współczynnik samopodobieństwa ruchu sieciowego; wykrywanie przeciążeń

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
• Rocznik: 2022
• Tom: T. 12, nr 4
• Strony: 26--30
• Opis fizyczny: Bibliogr. 24 poz., wykr.

Twórcy

autor

Yakymchuk Natalia

• Lutsk National Technical University,Faculty of Computer and Information Technologies/ Department of Electronics and Telecommunications, Lutsk, Ukraine

• https://orcid.org/0000-0002-8173-449X

autor

Selepyna Yosyp

• Lutsk National Technical University,Faculty of Computer and Information Technologies/ Department of Electronics and Telecommunications, Lutsk, Ukraine

• https://orcid.org/0000-0002-2421-1844

autor

Yevsiuk Mykola

• Lutsk National Technical University,Faculty of Computer and Information Technologies/ Department of Electronics and Telecommunications, Lutsk, Ukraine

• https://orcid.org/0000-0002-3768-8959

autor

Prystupa Stanislav

• Lutsk National Technical University,Faculty of Computer and Information Technologies/ Department of Electronics and Telecommunications, Lutsk, Ukraine

• https://orcid.org/0000-0003-3705-1541

autor

Moroz Serhii

• Lutsk National Technical University,Faculty of Computer and Information Technologies/ Department of Electronics and Telecommunications, Lutsk, Ukraine

• https://orcid.org/0000-0003-4677-5170

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).