Share Email Print

Proceedings Paper

Analysis of a distributed switching overload control using a semi-Markov decision process
Author(s): Kazem Sohraby; Sheng Lin; Gopal Gehi; Susan Schlough; On-Ching Yue
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Future switching architectures lead to the distribution of call processing and fabric control in separate processing entities. Message exchange among fabric controllers and call processors occurs in order to establish a communication path in the network. As new switching fabrics and network applications are introduced, volume and type of call requests at a distributed switch are also expected to increase. Even more so than in the past, overload control is becoming critical and requires special attention. In this paper, after describing a distributed switching architecture we consider the problem of multivariate overload control by formulating it as a Semi-Markov Decision Process. The model consists of observation of the system states at each state change. At each system state, an action appropriate for overload control in the switch entity is selected. The objective is to maximize the average system throughput.

Paper Details

Date Published: 10 October 1997
PDF: 10 pages
Proc. SPIE 3231, Performance and Control of Network Systems, (10 October 1997); doi: 10.1117/12.290442
Show Author Affiliations
Kazem Sohraby, Lucent Technologies Bell Labs. (United States)
Sheng Lin, Lucent Technologies Bell Labs. (United States)
Gopal Gehi, Lucent Technologies Bell Labs. (United States)
Susan Schlough, Lucent Technologies Bell Labs. (United States)
On-Ching Yue, Lucent Technologies Bell Labs. (United States)

Published in SPIE Proceedings Vol. 3231:
Performance and Control of Network Systems
Wai Sum Lai; Hisashi Kobayashi, Editor(s)

© SPIE. Terms of Use
Back to Top