A Decision Theoretic Approach to Congestion Control in Signalling Networks

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Stefan Pettersson, Åke Arvidsson
Title: A Decision Theoretic Approach to Congestion Control in Signalling Networks
Conference name: Thirteenth Nordic Teletraffic Seminar
Year: 1996
Pagination: 352-364
ISBN: 82-993980-0-2
Publisher: Department of Telematics, Norwegian Univ. of Science and Technology
City: Trondheim
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
Authors e-mail: stefanp@itm.hk-r.se
Language: English
Abstract: Congestion control in the signaling system number 7 is a necessity to fulfil the
requirements of a telecommunication network that satisfy customers’ requirements
on quality of service. Heavy network load is an important source of customer dis-satisfaction
as congested networks result in deteriorated quality of service. With
the introduction of a Congestion Control Mechanism (CCM), that annihilates serv-ice
sessions with a predicted completion time greater than the maximum allowed
completion time for the session, network performance improves dramatically.
Annihilation of already delayed sessions let other sessions benefit and increase the
useful overall network throughput. This paper uses a decision theoretic approach
that bases the decision of annihilation on the average profit attached to each of the
two possible actions, i.e. annihilate or not. We describe the load dependent proba-bility
distribution for the completion time, and discuss the use of attributes
attached to each session describing the outcome of any performed CCM action,
e.g. the bad will costs associated with annihilation. These attributes are also used to
calculate the network profit for a given network load. The results in this paper indi-cate
that the decision theoretic approach to the CCM (DCCM) can handle very
high overloads, keeping the network profit on a reasonable level.
Subject: Telecommunications\Overload Control in Intelligent Networks
Keywords: Network Overload, Intelligent Networks
Note: This article is written under the Project "Overload Control in Intelligent Networks"