Quality of service ensuring using dynamic tensor model with support of different flow classes in telecmmunication networks

Лемешко, О. В.; Єременко, О. С.

Публікація:
Quality of service ensuring using dynamic tensor model with support of different flow classes in telecmmunication networks

dc.contributor.author	Лемешко, О. В.
dc.contributor.author	Єременко, О. С.
dc.date.accessioned	2016-09-08T06:43:47Z
dc.date.available	2016-09-08T06:43:47Z
dc.date.issued	2016
dc.description.abstract	Dynamic tensor model with support of different flow classes in telecommunication networks for ensuring QoS proposed. QoS multipath routing model represented. Tensor model based on geometrization and tensor generalization of differential equations of network state, which adequately describe network links utilization and average packet delays. Results of research the proposed dynamic tensor model have shown that using this model allows more accurately calculate the value of average packet delay, especially in the case of high utilization of network interfaces, that can be useful in network resource allocation to flows of different classes.	uk_UA
dc.identifier.citation	Современные проблемы радиоэлектроники 2016	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/2295
dc.language.iso	en	uk_UA
dc.subject	Телекоммуникации	uk_UA
dc.subject	multipath routing	uk_UA
dc.subject	Quality of Service	uk_UA
dc.subject	flow-based model	uk_UA
dc.subject	flows of different classes	uk_UA
dc.subject	queuing system	uk_UA
dc.subject	tensor model	uk_UA
dc.subject	average packet end-to-end delay	uk_UA
dc.title	Quality of service ensuring using dynamic tensor model with support of different flow classes in telecmmunication networks	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication