A Congestion Control Mechanism for Signaling Networks based on Network Delays
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Full text: | |
| Author(s): | Lars Angelin, Åke Arvidsson |
| Title: | A Congestion Control Mechanism for Signaling Networks based on Network Delays |
| Conference name: | Twelfth Nordic Teletraffic Seminar |
| Year: | 1995 |
| Pagination: | 367-378 |
| ISBN: | 951-38-4545-1 |
| Publisher: | Technical Research Centre of Finland |
| City: | Espoo |
| ISI number: | A1995BE25P00030 |
| 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: | larsa@itm.hk.r.se |
| Language: | English |
| Abstract: | Congestion control in Signaling System #7 faces new challenges as mo-bile communication systems and Intelligent Networks grow rapidly. New ser-vices 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 network can maintain high probability for successful service comple-tion. With the introduction of a state machine and a memory function for each signaling link it is possible to predict the completion time of a service session and to detect an emerging congestion. If the predicted completion time of a service session is too long, the session is annihilated. This is the foundation of a congestion control mechanism that reacts fast on information supplied by the congested part of the network. The congestion control mechanism increases the ratio of successfully completed service sessions 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" |
