Runtime Resolution of Feature Interactions in Evolving Telecommunications Systems

Reiff-Marganiec, Stephan (2002) Runtime Resolution of Feature Interactions in Evolving Telecommunications Systems. PhD thesis, University of Glasgow.

Full text available as:
[thumbnail of 13818748.pdf] PDF
Download (7MB)

Abstract

Feature interactions in telecommunications is an active research area. Many approaches to solve the so-called feature interaction problem have been proposed. However, all these approaches consider feature interaction as a somewhat isolated problem, in particular it is not seen in the context of evolving legacy systems and third party features in a deregulated market environment. An exception is the approach by Marples and Magill [MM98, Mar00], which presents an interaction detection mechanism and an essentially manual resolution approach. We develop an automatic resolution approach that can be integrated with Marples and Magill's detection mechanism. We distinguish two key concepts, namely solutions and resolutions. The former are essentially possible behaviours of the system, they are not qualified as desirable or undesirable, the latter are the desirable solutions. Our approach allows for automatic removal of undesired behaviour and selection of the "best" desired behaviour. The correctness, complexity and suitability of our approach are analysed. Two case studies support these more theoretical considerations. Our approach is transferable to other areas, such as quality of service management, and is not restricted to network architectures with a single point of control.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: Adviser: Muffy Calder
Keywords: Computer science
Date of Award: 2002
Depositing User: Enlighten Team
Unique ID: glathesis:2002-75972
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 19 Nov 2019 17:09
Last Modified: 19 Nov 2019 17:09
URI: https://theses.gla.ac.uk/id/eprint/75972

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year