Overload control strategies for distributed communication networks
Author
Summary, in English
This thesis discusses overload control strategies for distributed communication networks. Further, a number of overload control schemes that carry out a certain strategy are developed and examined. The main objectives of the overload control schemes are to efficiently protect a resource from overload, to maintain a high throughput and to ensure a fair distribution of the resource's capacity among the services.
Two network architectures are examined; the Intelligent Network (IN) and the Telecommunication Information Networking Architecture (TINA). For IN, the thesis concentrates on the overload control of Service Control Points (SCPs), Service Switching Control Points (SSCPs) and Intelligent Peripherals (IPs). These nodes are examined with both simulation and analytical methods. For TINA, a performance simulation model is developed. Further, the overload control of TINA networks is discussed.
The thesis also analytically analyses a feedback queuing system with control theoretic methods. A transfer function for the system is developed when a modified PD controller is used in the overload control.
Publishing year
1999
Language
English
Publication/Series
Reports on communication systems
Volume
131
Document type
Dissertation
Publisher
Department of Communication Systems, Lund University
Topic
- Communication Systems
- Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- resource allocation
- simulation models
- TINA
- Intelligent Networks
- distributed systems
- performance analysis
- overload control
- Telecommunication engineering
- Telekommunikationsteknik
Status
Published
Project
- Tele- och datakommunikationssystem: Performance Analysis of distributed Applications
Research group
- Tele- och datakommunikationssystem
Supervisor
ISBN/ISSN/Other
- ISSN: 1101-3931
- ISRN LUTEDX/TETS--1039--SE+158P
Defence date
5 March 1999
Defence time
10:15
Defence place
Room E:1406, Lund Institute of Technology
Opponent
- Bjarne Helvik (Prof.)