Публікація:
Mathematical simulation of self-similar network traffic with aimed parameters

dc.contributor.authorKirichenko, L.
dc.contributor.authorRadivilova, T.
dc.date.accessioned2016-09-06T10:34:36Z
dc.date.available2016-09-06T10:34:36Z
dc.date.issued2013
dc.description.abstractThe objective of the given work is to study the queues resulting in the buffer while self-similar traffic passing through a network nod and to build a mathematical model of an actual traffic. The latest researches of different types of network traffics bring out clearly that network traffic is defined by self- similarity and long-term dependence. The self-similar traffic has specific structure being reserved at various measures - its realization is characterized by some vast emissions when respecting low medium-scale traffic. This fact degrades the performance significantly (increases, losses and delays) while running through the network nods. Hence, it follows that commonly used methods of simulation and network system calculations rested on traditional assumptions do not reflect the real situation taking place in the network.uk_UA
dc.identifier.citationKirichenko L., Radivilova T., Abed Saif Alghawli. Mathematical simulation of self-similar network traffic with aimed parameters // Annals Computer Science Sériés. – 2013. – 11 Tome 1 Fasc. – 2013. – P.17-22.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/2146
dc.language.isoenuk_UA
dc.publisher"Tibiscus" University of Timişoara, Romaniauk_UA
dc.subjectself-similaruk_UA
dc.subjectnetwork trafficuk_UA
dc.subjectstochastic processesuk_UA
dc.subjectqueueuk_UA
dc.titleMathematical simulation of self-similar network traffic with aimed parametersuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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