Bandwidth Optimization for Real-Time Online and Mobile Applications

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 276)

Abstract

This work proposes a novel algorithm to maximize the utilization of bandwidth for any text based application. The algorithm is used for real-time online text chatting, as well as offline SMS in mobile phones. Text is handled transparently without any modification in the core network. The proposed algorithm is an application of ‘A-M’ compression framework. Applying such algorithm will save at least 25% and up to 90% of the bandwidth depending on the context of the transferred data. Other applications such as email, web browsing, etc…will also gain from applying such algorithm. This paper demonstrated two types of applications; the real-time text chatting, and the mobile SMS application. The algorithm depends on a pre-defined dictionary of maximum size of 16 Kbyte installed on the client side or on the cloud near each client.

Keywords

Bandwidth optimization mobile application real-time application network QoS transparent compression 

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References

  1. 1.
    Abrams, M., Standridge, C., Abdulla, G., Williams, S., Fox, E.: Caching proxies: Limitations and potentials. In: Proc. 4th International World Wide Web Conference (1995)Google Scholar
  2. 2.
    Shim, J., Scheuermann, P., Vingralek, R.: Proxy Cache Algorithms: Design, Implementation, and Performance. IEEE Transactions on Knowledge and Data Engineering 11(4), 549–562 (1999)CrossRefGoogle Scholar
  3. 3.
    Valloppillil, V., Ross, K.W.: Cache Array Routing. Protocol v1.0. Internet Draft (1998)Google Scholar
  4. 4.
    Mokhtar, A., Rubino, G.J.: Mutual synergy between web caches. In: Hui, L.C.K., Lee, D.-L. (eds.) ICSC 1999. LNCS, vol. 1749, pp. 439–446. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  5. 5.
    Shioda, S., Mase, K.: Performance comparison between IntServ-based and DiffServ-based networks. In: Global Telecommunications Conference, GLOBECOM 2005. IEEE (2005)Google Scholar
  6. 6.
    Lixia, Z., Xerox, P., Deering, S., Estrin, D., Shenker, S.: RSVP: a new resource ReSerVation Protocol. IEEE Communications Society, Network 7(5) (1993)Google Scholar
  7. 7.
    Jacob, N., Somvanshi, P., Tornekar, R.: Comparative Analysis of Lossless Text Compression Techniques. International Journal of Computer Applications 56(3), 0975–8887 (2012)Google Scholar
  8. 8.
    Chandran, L., Agarwal, N., Apte, V.: Capacity Analysis of the GSM Short Message Service. In: Proceedings of NCC 2003 (2003)Google Scholar
  9. 9.
    Mansour, A.M.A., Cataline, M.: dynamic content allocation/delivery mechanism. patent WO/2003/065659 (2003)Google Scholar
  10. 10.
    Buyya, R., et al. (eds.): Content Delivery Networks. LNEE, vol. 9. Springer, Heidelberg (2008)Google Scholar
  11. 11.
    Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, 2nd edn., pp. 385–392. MIT Press and McGraw-Hill (2001); Section 16.3, ISBN 0-262-03293-7Google Scholar
  12. 12.
    El-Gendy, M.A., Bose, A., Shin, K.G.: Evolution of the Internet QoS and Support for Soft Real-Time Applications. Proceedings of the IEEE 91(7) (2003)Google Scholar
  13. 13.
    Qiang, N., et al.: A Survey of QoS Enhancements for IEEE 802.11 Wireless LAN. Journal of Wireless Communications and Mobile Computing 4(5), 547–566 (2004)CrossRefGoogle Scholar
  14. 14.
    Mansour, A.M.A., Fouad, M.A.M.: A New Compression Framework: ‘A-M’ Code. In: Internathional Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2013, Tunisia. IEExplore (2013) ISBN: 978-1-4673-5812-5Google Scholar
  15. 15.
    Mansour, A.M., Fouad, M.: Dictionary Based Optimization for Adaptive Compression Techniques. In: MIPRO 2013 - 36th International Convention CTI - Telecommunications & Information (2013)Google Scholar
  16. 16.
    Li, Z.-N., Drew, M.S.: Fundamentals of multimedia. Pearson Education (2004) ISBN 0-13-127256-XGoogle Scholar
  17. 17.
    Envisional: Internet bandwidth usage estimation Technical Report: “An Estimate of Infringing Use of the Internet,” Envisional Ltd. (2011), http://www.envisional.com
  18. 18.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ahmed Mokhtar A. Mansour
    • 1
  • Mona A. M. Fouad
    • 2
  1. 1.Free LancingNile InnovationsCairoEgypt
  2. 2.National Telecommunication InstituteCairoEgypt

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