Performance evaluation of statistical multiplexing schemes in ATM networks

Sykas, ED; Vlakos, KM; Anerousis, NG

dc.contributor.author	Sykas, ED	en
dc.contributor.author	Vlakos, KM	en
dc.contributor.author	Anerousis, NG	en
dc.date.accessioned	2014-03-01T01:08:28Z
dc.date.available	2014-03-01T01:08:28Z
dc.date.issued	1991	en
dc.identifier.issn	0140-3664	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10518
dc.subject	asynchronous transfer mode	en
dc.subject	MMPP model	en
dc.subject	on-off model	en
dc.subject	performance evaluation	en
dc.subject	statistical multiplexing	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Computer Networks	en
dc.subject.other	Mathematical Models--Applications	en
dc.subject.other	Aggregate Cell Arrival Stream	en
dc.subject.other	Asynchronous Traffic Mode (ATM) Networks	en
dc.subject.other	ATM Traffic Modelling	en
dc.subject.other	Constant Bit Rate (CBR) Sources	en
dc.subject.other	Statistical Multiplexing Schemes	en
dc.subject.other	Variable Bit Rate (VBR) Sources	en
dc.subject.other	Multiplexing	en
dc.title	Performance evaluation of statistical multiplexing schemes in ATM networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0140-3664(91)90003-J	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0140-3664(91)90003-J	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	This paper presents a method of modelling and analysing asynchronous traffic mode (ATM) networks, i.e. we study the performance characteristics of different ATM systems where the input is an aggregate cell arrival stream resulting from the superposition of different ATM traffic sources with different traffic characteristics. ATM traffic sources may range from constant bit rate sources (CBR) to variable bit rate sources (VBR). Flexible statistical multiplexing schemes must be adopted in order for the ATM networks to handle the traffic sources more efficiently, and to increase the bandwidth utilization as much as possible. In particular, we investigate two ATM traffic modelling approaches: the on-off model, and the Markov Modulated Poisson Process (MMPP) model. The performance analysis gives as output analytical formulas for the cell waiting time distribution and the cell loss probability in an ATM multiplexer queue. The multiplexer queue may represent a single ATM switching node in which the aggregate cell arrival stream arrives. © 1991.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Communications	en
dc.identifier.doi	10.1016/0140-3664(91)90003-J	en
dc.identifier.isi	ISI:A1991FU59600003	en
dc.identifier.volume	14	en
dc.identifier.issue	5	en
dc.identifier.spage	273	en
dc.identifier.epage	286	en