Network Oriented Load Control in Intelligent Networks

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Stefan Pettersson, Åke Arvidsson
Title: Network Oriented Load Control in Intelligent Networks
Conference name: Asia Pacific Symposium on Information and Telecommunication Technologies
Year: 1997
Pagination: 12.4.1-12.4.5
City: Hanoi
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:
Language: English
Abstract: Heavy network load in the signaling system number
7 is an important source of customer dissatisfaction
as congested networks result in deteriorated quality of
service. With the introduction of a Congestion Control
Mechanism (CCM), that rejects service sessions with a
predicted completion time greater than a maximum al-
lowed completion time for the session, network perfor-
mance improves dramatically, and thus customer satis-
faction. Rejection of already delayed sessions let other
sessions benefit and increase the useful overall network
throughput. The decision of rejection is based upon
Bayesian decision theory that takes into account the
cost or revenue attached to each action, i.e. whether
to reject the session or not. More valuable sessions are
then given priority through the network, at the ex-
pense of less valuable sessions. To clearly display the
benefit from this approach we propose to use network
profit as a performance metric.
This paper summarises the ongoing research and
discusses the future direction of this project. Of spe-
cial interest is deployment of new services in the IN
and the implications this has to network load and the
profit made by the operator.
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"