Design of an online charging system to support IMS-based inter-domain composite services

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Abstract

For service providers online charging of composite services is necessary in order to manage financial risks of service delivery in multi-domain environments. At service level, inter-domain composite services consist of one or more service components, e.g. access service, IMS communication service or content service, delivered by different service providers. The 3rd Generation Partnership Project (3GPP) has developed a framework for off-line and online charging of IMS-based services. However, the current Online Charging System (OCS) specified by 3GPPP does not support an online charging function for composite services. The contribution of this work lies in the design of an online charging system that addresses the required charging functionalities based on the IMS online charging architecture. The design consists of a service composition information model guided by the NGOSS and SID concepts of the Tele- Management Forum, a set of functional charging system components and their interactions at their interfaces.
Original languageUndefined
Title of host publicationLecture Notes In Computer Science (including Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
EditorsT. Pfeifer, P. Bellavista
Place of PublicationLondon
PublisherSpringer
Pages1-14
Number of pages14
ISBN (Print)9783642049934
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume5842
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Online charging
  • inter-domain composite services
  • IP Multimedia Subsystem (IMS)
  • IR-75554
  • EWI-17800
  • METIS-264897

Cite this

Le, V. M., Huitema, G. B., Rumph, F. J., Nieuwenhuis, L. J. M., & van Beijnum, B. J. F. (2009). Design of an online charging system to support IMS-based inter-domain composite services. In T. Pfeifer, & P. Bellavista (Eds.), Lecture Notes In Computer Science (including Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). (pp. 1-14). (Lecture Notes in Computer Science; Vol. 5842). London: Springer. https://doi.org/10.1007/978-3-642-04994-1_1