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Adaptation and Evaluation of Widely Used TCP Flavours in CCN

  • Asanga Udugama
  • Jinglu Cai
  • Carmelita Göerg
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 125)

Abstract

Content Centric Networking (CCN) is a paradigm shift from the way how networks of today work. The focus of networking in CCN is on the content and not on the hosts that are involved in a communication. One of the key cornerstones of today’s communication model is the use of flow and congestion control to pipeline data and take appropriate action when congestion is perceived to exist in a network. TCP of the Internet protocol suite has shown us how application performance is enhanced in different communication situations. An interesting area of research is how TCP-like flow and congestion control can be adapted for CCN. The work presented here adapts the most widely used TCP flavours of NewReno, Compound and Cubic to operate in CCN. Due to the architectural differences that CCN has over IP based networks, this work identifies a number of additional algorithms to cater to the issues associated with these differences. Finally, the performance of these adapted TCP flavours and the algorithms are evaluated in an OPNET based simulator.

Keywords

Future Internet Content Centric Networking Flow and Congestion Control Simulations 

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References

  1. 1.
    Jacobson, V., Smetters, D.K., Thornton, J.D., Plass, M.F., Briggs, N.H., Braynard, R.L.: Networking named content. In: Proceedings of the 5th International Conference on Emerging Networking Experiments and Technologies, pp. 1–12. ACM (2009)Google Scholar
  2. 2.
    Zhang, L., Estrin, D., Burke, J., Jacobson, V., Thornton, J.D., Smetters, D.K., Zhang, B., Tsudik, G., Massey, D., Papadopoulos, C., et al.: Named data networking (NDN) project, NDN-0001, Xerox Palo Alto Research Center-PARC (2010)Google Scholar
  3. 3.
    Floyd, S.: The NewReno Modification to TCPs Fast Recovery Algorithm, RFC3782 (April 2004)Google Scholar
  4. 4.
    Tan, K., Song, J., Zhang, Q., Sridharan, M.: A Compound TCP Approach for High-speed and Long Distance Networks. In: IEEE Infocom, Barcelona, Spain (April 2006)Google Scholar
  5. 5.
    Ha, S., Rhee, I., Xu, L.: CUBIC: A New TCP-Friendly High-Speed TCP Variant. ACM SIGOPS Operating System Review (2008)Google Scholar
  6. 6.
    Allman, M., Paxson, V., Stevens, W.: TCP Congestion Control, RFC 2581 (April 1999)Google Scholar
  7. 7.
    Oueslati, S., Roberts, J., Sbihi, N.: Flow-aware traffic control for a content-centric network. In: 2012 Proceedings IEEE INFOCOM. IEEE (2012)Google Scholar
  8. 8.
    Rozhnova, N., Fdida, S.: An effective hop-by-hop Interest shaping mechanism for CCN communications. In: Computer Communications Workshops (INFOCOM WKSHPS). IEEE (2012)Google Scholar
  9. 9.
    Carofiglio, G., Gallo, M., Muscariello, L.: Joint hop-by-hop and receiver-driven interest control protocol for content-centric networks. In: Proceedings of the Second Edition of the ICN Workshop on Information-centric Networking. ACM (2012)Google Scholar
  10. 10.
    Palo Alto Research Centre, Draft CCN Protocol Specification, http://www.ccnx.org, (accessed on May 2013)
  11. 11.
    Keshav, S.: An Engineering Approach to Computer Networking: ATM Networks, the Internet, and the Telephone Network. Addison-Wesley Professional (1997)Google Scholar
  12. 12.
    Psaras, I., Clegg, R.G., Landa, R., Chai, W.K., Pavlou, G.: Modelling and Evaluation of CCN-Caching Trees. In: Domingo-Pascual, J., Manzoni, P., Palazzo, S., Pont, A., Scoglio, C. (eds.) NETWORKING 2011, Part I. LNCS, vol. 6640, pp. 78–91. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  13. 13.
    Muscariello, L., Carofiglio, G., Gallo, M.: Bandwidth and Storage Sharing Performance in Information Centric Networking. In: ACM SIGCOMM Workshop on Information-centric Networking, pp. 26–31 (2011)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Asanga Udugama
    • 1
  • Jinglu Cai
    • 1
  • Carmelita Göerg
    • 1
  1. 1.University of BremenGermany

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