---
abstract: "We discuss an original scheme based on distributed feedforward neural networks (NN), aimed at modelling several queueing systems in cascade fed with bursty traffic. For each queueing system, a neural network is trained to anticipate the average number of waiting packets, the packet loss rate and the coefficient of variation of the packet inter-departure time, given the mean rate, the peak rate and the coefficient of variation of the packet inter-arrival time. The latter serves for the calculation of the coefficient of variation of the cell inter-arrival time of the aggregated traffic which is fed as input to the next NN along the path. The potential of this method was sucessfully illustrated on several single server FIFO queues in (Aussem99). We now apply this technique to model a small queueing network made up from a combination of queues in tandem and in parallel fed by a superimposition of OnOff sources. Our long-term goal is the design of preventive control strategy in a multiservice communication network.\n"
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: July 2000
conference: IEEE-INNS-ENNS International Joint Conference on Neural Networks
confloc: 'Como, Italy'
contact_email: ~
creators_id: []
creators_name:
- family: Aussem
given: Alex
honourific: ''
lineage: ''
- family: Mahul
given: Antoine
honourific: ''
lineage: ''
- family: Marie
given: Raymond
honourific: ''
lineage: ''
date: 2000
date_type: published
datestamp: 2000-10-18
department: ~
dir: disk0/00/00/10/38
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 1038
fileinfo: /style/images/fileicons/application_postscript.png;/1038/2/IJCNN2000_telecom.ps
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'Neural networks, traffic control, queueing systems, quality of service'
lastmod: 2011-03-11 08:54:25
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 392-397
pubdom: FALSE
publication: ~
publisher: ~
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 10
series: ~
source: ~
status_changed: 2007-09-12 16:36:07
subjects:
- comp-sci-neural-nets
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Queueing Network Modelling with Distributed Neural Networks for Service Quality Estimation in B-ISDN Networks
type: confpaper
userid: 181
volume: 5