Paper Info
Title
Quantitative evaluation of scalability in broadband intelligent networks
Abstract
Scalability is the ability of a network to maintain the quality of service while increasing certain parameters relating to the size of the network, such as the number of users, the number of network nodes, the number of services provided, geographical spread, etc. In the design of a B-IN signalling system, network scalability is an important issue that must be taken into account. In this paper we use simulation to investigate scalability issues related to a Broadband Intelligent Network (B-IN), such as that being considered in the ACTS project INSIGNIA. In particular, we study the impact of processor speed and configuration (in B-IN physical entities) on signalling performance. As signalling performance measures we consider the mean call setup delay of a B-IN service request and the network throughput. For Broadband Virtual Private Network (B-VPN) service, we perform scalability experiments by increasing some of the network parameters such as the number of users and the number of nodes.
Year
DOI
Venue
1998
10.1007/978-0-387-35355-5_6
PICS
Keywords
Field
DocType
broadband intelligent network,quantitative evaluation,intelligent network
Computer science,Node (networking),Computer network,Quality of service,Broadband,Throughput,Intelligent Network,Clock rate,Scalability,Distributed computing,Private network
Conference
ISBN
Citations 
PageRank 
0-412-83730-7
2
0.54
References 
Authors
4
3
Name
Order
Citations
PageRank
G. Karagiannis122112.42
Victor F. Nicola246884.45
Ignas Niemegeers31138106.87