LB-SELA: Rate-based access control for ATM networks

Atlasis, AF

dc.contributor.author	Atlasis, AF	en
dc.date.accessioned	2014-03-01T01:47:15Z
dc.date.available	2014-03-01T01:47:15Z
dc.date.issued	1998	en
dc.identifier.issn	13891286	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25186
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0242677184&partnerID=40&md5=922300d140224d4ccb8595a4a30b9cd6	en
dc.subject	ATM	en
dc.subject	Leaky bucket	en
dc.subject	Learning automata	en
dc.subject	Policing problem	en
dc.subject	Quality of service (QoS)	en
dc.title	LB-SELA: Rate-based access control for ATM networks	en
heal.type	journalArticle	en
heal.publicationDate	1998	en
heal.abstract	The statistical multiplexing of sources with diverse traffic characteristics in ATM networks leads to serious congestion control problems. One of the most fundamental is the policing of sources, particularly those with bursty traffic characteristics. Because of the statistical nature of burstiness, the policing of these sources is difficult and the known policing mechanisms cannot control them effectively. In this paper, the Leaky Bucket mechanism is enhanced using a learning algorithm in order to ""learn"" the behaviour of the source. As will be shown in the simulation results, the tighter and faster control achieved by the proposed methodology results in more statistical gain and better guarantee of the QoS constraints. © 1998 Elsevier Science B.V. All rights reserved.	en
heal.journalName	Computer Networks	en
dc.identifier.volume	30	en
dc.identifier.issue	9-10	en
dc.identifier.spage	963	en
dc.identifier.epage	980	en