Mathematical simulation of self-similar network traffic with aimed parameters

Kirichenko, L.; Radivilova, T.

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

dc.contributor.author	Kirichenko, L.
dc.contributor.author	Radivilova, T.
dc.date.accessioned	2016-09-06T10:34:36Z
dc.date.available	2016-09-06T10:34:36Z
dc.date.issued	2013
dc.description.abstract	The 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.citation	Kirichenko 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.uri	http://openarchive.nure.ua/handle/document/2146
dc.language.iso	en	uk_UA
dc.publisher	"Tibiscus" University of Timişoara, Romania	uk_UA
dc.subject	self-similar	uk_UA
dc.subject	network traffic	uk_UA
dc.subject	stochastic processes	uk_UA
dc.subject	queue	uk_UA
dc.title	Mathematical simulation of self-similar network traffic with aimed parameters	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication