A Model-Based Performance Management Tool for ATM and Frame Relay Networks

Tsaih, D; Lapiotis, G; Panwar, S; Tassiulas, L

dc.contributor.author	Tsaih, D	en
dc.contributor.author	Lapiotis, G	en
dc.contributor.author	Panwar, S	en
dc.contributor.author	Tassiulas, L	en
dc.date.accessioned	2014-03-01T01:47:04Z
dc.date.available	2014-03-01T01:47:04Z
dc.date.issued	1998	en
dc.identifier.issn	10647570	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25135
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0032290543&partnerID=40&md5=e52ec8ec8210bd4a54761860d2d6f843	en
dc.subject	ATM	en
dc.subject	Broadband networks	en
dc.subject	Network design	en
dc.subject	Performance management	en
dc.subject.other	Algorithms	en
dc.subject.other	Approximation theory	en
dc.subject.other	Asynchronous transfer mode	en
dc.subject.other	Broadband networks	en
dc.subject.other	Computer aided design	en
dc.subject.other	Computer software	en
dc.subject.other	Decision support systems	en
dc.subject.other	Data network modeling and optimization tool (DATANMOT)	en
dc.subject.other	Frame relay networks	en
dc.subject.other	Network management systems	en
dc.subject.other	Packet networks	en
dc.title	A Model-Based Performance Management Tool for ATM and Frame Relay Networks	en
heal.type	journalArticle	en
heal.publicationDate	1998	en
heal.abstract	In this paper we describe a network modeling approach intended to assist in the performance management, design, and optimization of broadband traffic networks. Switch and source models, as well as routing optimization and decision support algorithms have been integrated in a prototype software tool, called DATANMOT (Data Network Modeling and Optimization Tool). The switch models developed are based on standard Frame Relay and ATM switch implementations. Specifically, an analytical model of the Fujitsu FETEX 150 ATM switch is described here in detail. Fluid-flow approximation methods were used for performance evaluation, with computational complexity low enough for near-real time applications. As a result, given the network configuration and input traffic, an evaluation of the quality of service can be derived and used in optimal routing, admission control and network planning. These techniques have been incorporated in our modeling tool to demonstrate the model-based approach to network management. In addition, all configuration, modeling, and management functions of the software tool are supported by a graphical user interface, and a database system.	en
heal.journalName	Journal of Network and Systems Management	en
dc.identifier.volume	6	en
dc.identifier.issue	4	en
dc.identifier.spage	399	en
dc.identifier.epage	428	en