A Network Approach to Signalling Network Congestion Control
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Full text: | |
| Author(s): | Lars Angelin, Stefan Pettersson, Åke Arvidsson |
| Title: | A Network Approach to Signalling Network Congestion Control |
| Conference name: | Second St. Petersburg Regional International Teletraffic Seminar |
| Year: | 1995 |
| Pagination: | 10-21 |
| Publisher: | LONIIS |
| City: | St. Petersburg |
| Organization: | Blekinge Institute of Technology |
| Department: | Dept. of Telecommunications and Mathematics (Institutionen för telekommunikation och matematik) Dept. of Telecommunications and Mathematics S-371 79 Karlskrona +46 455 780 00 http://www.hk-r.se/itm/index.html |
| Authors e-mail: | lars.angelin@itm.hk-r.se |
| Language: | English |
| Abstract: | Congestion control in Signaling System #7 faces new challenges as mobile communication systems and Intelligent Networks grow rapidly. New services change traffic patterns, add to signalling network load, and raise demands on shorter service completion times. To handle new demands, the congestion control mechanisms must foresee an overload situation, and respond to it so that the net-work can maintain high probability for successful service completion. By measur-ing the time consumption for the initial Message Signalling Units of a service session it is possible to predict the duration of the service session and to detect an emerging congestion. If the predicted duration of the service session is too long, the service session is annihilated. This is the foundation of a congestion control mechanism that reacts fast and on information supplied by the congested part of the network. The congestion control mechanism increases the ratio of successfully completed services during congestion by several hundred percent. |
| Subject: | Telecommunications\Overload Control in Intelligent Networks |
| Keywords: | Overload control, Intelligent networks |
| Note: | This article is written under the Project "Overload Control in Intelligent Networks" |
