|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Managing Distributed Feature Interactions in Enterprise SIP Application Servers|
|Citation:||Kolberg M, Buford J, Dhara K, Wu X & Krishnaswamy V (2009) Managing Distributed Feature Interactions in Enterprise SIP Application Servers In: IEEE International Conference on Communications, 2009. ICC '09. IEEE International Conference on Communications (ICC). IEEE International Conference on Communication (ICC), 2009. ICC '09, Piscataway, NJ, 14.06.2009-18.06.2009. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 1-6. https://doi.org/10.1109/ICC.2009.5199162.|
|Series/Report no.:||IEEE International Conference on Communications (ICC)|
|Conference Name:||IEEE International Conference on Communication (ICC), 2009. ICC '09|
|Conference Dates:||2009-06-14 - 2009-06-18|
|Conference Location:||Dresden, Germany|
|Abstract:||Several trends in SIP application server deployments exacerbate the classic problem of feature interaction in large enterprise telephony environments: use of distributed feature servers, mixing of legacy and green-field feature servers, and the co-existence of multiple third-party feature implementations provisioned in the same environment. Next-generation SIP application servers will include an application router (AR) to provide more control over feature sequencing. As we discuss here, the AR can be augmented to incorporate feature interaction detection and resolution logic. We describe a novel design for run-time feature interaction detection and resolution in an environment of distributed feature servers using a SIP application server with application routing function, such as that defined in JSR 289. The approach is based on the algorithm of the Kolberg-Magill (K-M) method for feature interaction detection. Here we extend the notation of the algorithm to cover advanced call control services, enable the algorithm to work in topologies involving B2BUAs and SBCs, and test the approach with a substantial feature set of 32 features.|
|Status:||AM - Accepted Manuscript|
|Rights:||Published in IEEE International Conference on Communications, 2009. ICC '09 by Institute of Electrical and Electronics Engineers (IEEE).; © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|icc2009-fi.pdf||Fulltext - Accepted Version||226.41 kB||Adobe PDF||View/Open|
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