Distributed CloudIMS: Future-Generation Network with Internet of Thing Based on Distributed Cloud Computing

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 308)

Abstract

The next-generation network, cloud computing, and Internet of thing are a challenging and promising paradigm shift in IT world technology. Diminishing the cost for users for provisioning anywhere connecting at anytime from anywhere network, CloudIMS consists of interconnecting heterogeneous access technology and to respond to a major challenge for serving the increase in demand and scalable network access to share pool of configurable resource of enabling a convenient cloud computing. This paper mainly focused on common approach to integrate the IP multimedia subsystem (IMS), the Internet of thing, and cloud computing under the name of CloudIMS architecture which makes multimedia service easy to deploy on a cloud platform. We present the state of art of the different elements of CloudIMS. Moreover, we examine the layers designed for CloudIMS based on next-generation network access for mobile communication devices between different types of technologies (3GPP and non-3GPP), such as global system for mobile communication (GSM), wireless network, worldwide interoperability for microwave access (WiMAX), Universal Mobile Telecommunications System (UMTS) and long-term evolution (LTE). Finally, we present an architecture of CloudIMS according to our point of view, followed by a discussion of a use case for the future networks.

Keywords

IP multimedia subsystem Cloud computing Virtualization M2M Internet of things Interworking network 

References

  1. 1.
    GPP, GSM, and ETSI: TS 23.228 IP Multimedia Subsystem (IMS); Stage 2 (Version 12.3.0, Release 12; 2013-12-17). link: http://www.3gpp.org/DynaReport/23228.htm
  2. 2.
    Sultan, A., Mulligan, U.: NGN standardization as a strength In: Bertin, E. et al. (eds.) Telecommunication Services Evolution, LNCS 7768, pp. 77–89. Springer, Berlin (2013)Google Scholar
  3. 3.
    Allouch, H., Belkasmi, M.: Design of transparent distributed IMS network: security challenges risk and signaling analysis. J. IJNGN 4(4), 1–18 (2012). doi: 10.5121/ijngn.2012.4401
  4. 4.
    Allouch, H., Belkasmi, M.: Risk analytic approach and cost analysis for interworking on the new secured IMS architecture. J. Inform. Secur. Res. 3(3), 130–147 (2012)Google Scholar
  5. 5.
    Pallis, G.: Cloud computing: the new frontier of internet computing. IEEE Internet Comput. 14, 70–73 (2010)Google Scholar
  6. 6.
    Mell, P., Grance, T.: The NIST definition of cloud computing. NIST Special Publication 800-145, p. 7 (2011)Google Scholar
  7. 7.
    Broll, G., Rukzio, E., Paolucci, M., Wagner, M., Schmidt, A., Hussmann, H.: Pervasive service interaction with the internet of things. IEEE Internet Comput. 13(6), 74–81 (2009)CrossRefGoogle Scholar
  8. 8.
    Hong, S., Kim, D., Ha, M., Bae, S., Park, S.J., Jung, W., Kim, J.: SNAIL: an IP-based wireless sensor network approach to the internet of things. IEEE Wirel. Commun. 17(6), 34–42 (2010)CrossRefGoogle Scholar
  9. 9.
    Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54, 2787–2805 (2010)CrossRefMATHGoogle Scholar
  10. 10.
    Chang, K.-D., Chen, C.-Y., Chen, J.-L., Chao, H.-C.: Challenges to next generation services in IP multimedia subsystem. J. Inform. Process. Syst. 6(2), 129–146 (2010)CrossRefGoogle Scholar
  11. 11.
    Gubbi, J., et al.: Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Elsevier, Amsterdam (2013)Google Scholar
  12. 12.
    Nimbits: http://www.nimbits.com/. Retrieved by 20 July 2012

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.ENSIAS, Mohammed V University at SouissiRabatMorocco

Personalised recommendations