The nodal tensor model for QoS estimation of communications networks

Ponomarev, D.

Публікація:
The nodal tensor model for QoS estimation of communications networks

dc.contributor.author	Ponomarev, D.
dc.date.accessioned	2016-09-12T09:46:12Z
dc.date.available	2016-09-12T09:46:12Z
dc.date.issued	2013
dc.description.abstract	The main characteristics of QoS are estimated usually by methods of queuing theory. However, in the application to nets queuing theory considers processes for each of the systems (switches, routers, servers etc.) without taking into account the network topology. On the other hand, graph theory uses the topology for network analysis but cannot consider arrival and service processes in network systems. Tensor analysis of networks allows to provide an estimate of QoS characteristics with taking into account both the arrival and service processes and the network topology. This work presents the nodal tensor model as a tool for QoS analysis in the communications networks. In these models, the main systems of the communications network represented as single - line queuing systems (but and other types of queuing systems can be used). Models formed in accordance to the types of networks. The proposed models allow estimating the QoS characteristics for the individual routes and the entire network. Moreover, these models can be used to optimize the communications networks.	uk_UA
dc.identifier.citation	Ponomarev D. The nodal tensor model for QoS estimation of communications networks // Проблемы инфокоммуникаций. Наука и технологии (PIC S&T-2013): Сборник научных трудов первой международной научно-практической конференции, Харьков 9-11 октября 2013 г. / М-во образования и науки Украины, Харьковский национальный университет радиоэлектроники. –Харьков: ХНУРЭ, 2013. –С.153-156.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/2364
dc.language.iso	en	uk_UA
dc.publisher	ХНУРЭ	uk_UA
dc.title	The nodal tensor model for QoS estimation of communications networks	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication