Overload control strategies for distributed communication networks
Författare
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.
Publiceringsår
1999
Språk
Engelska
Publikation/Tidskrift/Serie
Reports on communication systems
Volym
131
Dokumenttyp
Doktorsavhandling
Förlag
Department of Communication Systems, Lund University
Ämne
- Communication Systems
- Electrical Engineering, Electronic Engineering, Information Engineering
Nyckelord
- resource allocation
- simulation models
- TINA
- Intelligent Networks
- distributed systems
- performance analysis
- overload control
- Telecommunication engineering
- Telekommunikationsteknik
Status
Published
Projekt
- Tele- och datakommunikationssystem: Performance Analysis of distributed Applications
Forskningsgrupp
- Tele- och datakommunikationssystem
Handledare
ISBN/ISSN/Övrigt
- ISSN: 1101-3931
- ISRN LUTEDX/TETS--1039--SE+158P
Försvarsdatum
5 mars 1999
Försvarstid
10:15
Försvarsplats
Room E:1406, Lund Institute of Technology
Opponent
- Bjarne Helvik (Prof.)