Operational Analysis of Virtual IP Multimedia Subsystem (IMS) Through a Model-Based Architectural Framework

  • Arevik GevorgyanEmail author
  • Peter Spencer
Conference paper


Telecom/IT convergence is transforming network architectures and cost structures. Lack of methodological support within an equipment provider organization hinders heavily the possibility of efficient transitions from traditional monolithic to virtual architectures and their market insertion. For any evolutions, especially innovation, operational analyses have a vital importance. We propose to base our approach for a systematic operational analysis upon the following metaphors: (1) an adapted Architectural Framework (in our case, inspired by SAGACE), incorporated with (2) PESTEL (environmental) and subsequently FURPSE (software characteristics) analyses frames, (3) leveraging on Model-Based Systems Engineering. A common consistent language and format for structuring and relating system’s operational, functional and physical views allow handling in a holistic and integrated manner evolutions and complexities of the system and its environment throughout decisions spectrums and levels. We case study virtual IP Multimedia Subsystem (essential for communication services across networks). Identified operational invariants are inputs of critical importance for iterative functional and decisions trade-off analyses in accordance to market, technological and other perspectives.


Network functions virtualization IP multimedia subsystem Operational analysis Complex systems architecture Architectural framework Model-Based systems engineering 


  1. 1.
  2. 2.
    4G Americas. Bringing Network Function Virtualization to LTE. White Paper, November 2014Google Scholar
  3. 3.
  4. 4.
    ETSI GS NFV: Network functions virtualization (NFV), use cases specification 004 V1.1.1Google Scholar
  5. 5.
    Chalé Góngora, H.G., Gaudré, T., Tucci-Piergiovanni, S.: Towards an architectural design framework for automotive systems development. In: CSD&M (2013)Google Scholar
  6. 6.
    Berrebi, J., Krob, D.: How to use systems architecture to specify the operational perimeter of an innovative product line. INCOSE 22(1), 84–99 (2012)CrossRefGoogle Scholar
  7. 7.
    Doufene, A., Krob, D., Chalé Góngora, H.G., Dauron, A.: Model-based operational analysis for complex systems - a case study for electric vehicles. INCOSE 24(1) (2014)Google Scholar
  8. 8.
    Zachman, J.A.: A framework for information systems architecture. IBM Syst. J. 26(3), 276–292 (1987)Google Scholar
  9. 9.
  10. 10.
    Björnander, S., Grunske, L.: Architecture Description Languages for Automotive Systems—a Literature Review. Technical report: C4-01 TR M49, 30 July 2008Google Scholar
  11. 11.
    Bartolomei, J.E., Hastings, D.E., de Neufville, R., Rhodes, D.H: Engineering systems multiple-domain matrix: an organizing framework for modeling large-scale complex systems. MIT. Published online 10 October 2011 in Wiley Online Library ( Accepted 24 Feb 2011
  12. 12.
    Krob, D.: Eléments d’architecture des systèmes complexes. In: Gestion de la complexité et de l’information dans les grands systèmes critiques, pp. 179–207. CNRS Editions (2009)Google Scholar
  13. 13.
    Krob, D.: Enterprise Architecture, Modules 1–10, Ecole Polytechnique, 2009–2010 (personal communication)Google Scholar
  14. 14.
    Estefan, J.A.: Survey of Model-Based Systems Engineering (MBSE) Methodologies. Report of INCOSE MBSE Focus Group, Rev. A, 25 May 2007Google Scholar
  15. 15.
    Friedenthal, S., Moore, A., Steiner, R.: A Practical Guide to SysML—The Systems Modeling Language. Morgan Kaufmann, Burlington (2008)Google Scholar
  16. 16.
    Weilkiens, T.: Systems Engineering with SysML/UML—Modeling, Analysis, Design. Morgan Kaufmann Publishers (2008)Google Scholar
  17. 17.
    INCOSE. Systems Engineering Vision 2020 (2007)Google Scholar
  18. 18.
    Chalé Góngora, H.G., Dauron, A., Gaudré, T.: A commonsense-driven architecture framework. A car manufacturer’s (naïve) take on MBSE. In: INCOSE (2012)Google Scholar
  19. 19.
    Honour, E.C.: Understanding the value of systems engineering. In: INCOSE (2004)Google Scholar
  20. 20.
    INCOSE. Systems engineering handbook. A guide for system lifecycle processes and activities. In: International Council on Systems Engineering (INCOSE), San Diego, CA, January 2010Google Scholar
  21. 21.
    PESTEL. PESTEL Analysis of the Macro-Environment. Oxford University Press, Oxford (2007)Google Scholar
  22. 22.
    Penalva, J.M.: La modélisation par les systèmes en situations complexes. PhD thesis, Université de Paris 11, Orsay, France (1997)Google Scholar
  23. 23.
  24. 24.
    Saaty, T.L, Vargas, L.G.: Models, methods, concepts & applications of the analytic hierarchy process. In: International Series in Operations Submitted for publication in the Journal of Systems Engineering, April 2011. Research and Management Science, Springer, Berlin (2000)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Laboratoire d’Informatique (LIX)École PolytechniquePalaiseauFrance
  2. 2.Strategy—IP PlatformsAlcatel-Lucent InternationalBoulogne-BillancourtFrance

Personalised recommendations