Advertisement

Experiences with Application Development for Autonomic Networks

  • Karl-André Skevik
  • Matti Siekkinen
  • Vera Goebel
  • Thomas Plagemann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5276)

Abstract

ANA is a project that examines legacy-free future networking architectures, with a focus on autonomicity. The programming model used in ANA dispenses with the rigid layers of the OSI model and instead uses bricks that can be combined to build a compartment offering the functionality required by an application. Restrictions such as TCP always being layered on top of IP do not exist, with e.g., arbitrary bricks offering transport functionality being usable to communicate with other nodes in a compartment. Application functionality is divided among specialized bricks, giving a clean and non-monolithic design. We have designed a P2P-like distributed streaming system from scratch, and designed an information sharing system by adapting an existing structured P2P system for ANA. In this paper, we report our experiences on the benefits and pitfalls of application and service development for ANA, and draw some conclusions on suitable design approaches for such novel “disruptive” network architectures.

Keywords

Range Query Application Development Streaming System Autonomic Network Video Streaming System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Jelger, C., Tschudin, C.F., Schmid, S., Leduc, G.: Basic abstractions for an autonomic network architecture. In: WoWMoM 2007: Proceedings of the 2007 International Symposium on a World of Wireless, Mobile and Multimedia Networks (2007)Google Scholar
  2. 2.
    Skevik, K.A.: The SPP architecture – A system for interactive Video-on-Demand streaming. PhD thesis, University of Oslo (April 2007)Google Scholar
  3. 3.
    Bharambe, A.R., Agrawal, M., Seshan, S.: Mercury: supporting scalable multi-attribute range queries. In: SIGCOMM 2004: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications, pp. 353–366. ACM Press, New York (2004)CrossRefGoogle Scholar
  4. 4.
    Stoica, I., Morris, R., Karger, D., Kaashoek, M.F., Balakrishnan, H.: Chord: A scalable peer-to-peer lookup service for internet applications. In: SIGCOMM 2001: Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications, pp. 149–160. ACM Press, New York (2001)CrossRefGoogle Scholar
  5. 5.
    Carter, R.L., Crovella, M.E.: Server selection using dynamic path characterization in wide-area networks. In: INFOCOM 1997: Proceedings of the Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution, 1014 (1997)Google Scholar
  6. 6.
    Heckmann, O., Bock, A.: The edonkey 2000 protocol. Technical Report KOM Technical Report 08/2002, Darmstadt University of Technology (2002)Google Scholar
  7. 7.
    Skevik, K.A., Goebel, V., Plagemann, T.: Design, prototype and evaluation of a network monitoring library. In: Rong, C., Jaatun, M.G., Sandnes, F.E., Yang, L.T., Ma, J. (eds.) ATC 2008. LNCS, vol. 5060. Springer, Heidelberg (to appear, 2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Karl-André Skevik
    • 1
  • Matti Siekkinen
    • 1
  • Vera Goebel
    • 1
  • Thomas Plagemann
    • 1
  1. 1.Department of InformaticsUniversity of OsloOsloNorway

Personalised recommendations