• DocumentCode
    2789430
  • Title

    Farewell to deterministic networks

  • Author

    Liotta, Antonio

  • Author_Institution
    Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2012
  • fDate
    16-16 Nov. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As communication networks become increasingly complex and dynamic, the three functions known as monitoring, control and management prove to be ineffective. It is increasingly difficult to operate large networks, perform diagnostics, prevent cascading failures, or deliver dependable services. I argue that this is because, although the Internet serves more terminals than there are neurons in the brain, we still handle our networks via deterministic protocols. We still try to capture the complex entangle of interconnections by creating deterministic models of the network, its traffic and control system. By the year 2020 the number of interconnected `things´ will grow by a factor of a thousand, and networks will be programmed to `learn´ how to detect new communication patterns and self-regulate, rather than acting deterministically. I introduce the anatomy of a smart network, discussing what more could be achieved with it.
  • Keywords
    Internet; Internet of Things; brain-computer interfaces; failure analysis; protocols; telecommunication terminals; Internet of Things; brain; cascading failure; communication network; communication pattern detection; communication terminal; control function; deterministic protocol; management function; monitoring function; network deterministic model; network interconnection; neuron; smart network; Communication networks; Internet; Monitoring; Protocols; Streaming media; Switches; Telecommunications; Internet of Things; Smart communication networks; future internet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Vehicular Technology in the Benelux (SCVT), 2012 IEEE 19th Symposium on
  • Conference_Location
    Eindhoven
  • Print_ISBN
    978-1-4673-2114-3
  • Electronic_ISBN
    978-1-4673-2113-6
  • Type

    conf

  • DOI
    10.1109/SCVT.2012.6399413
  • Filename
    6399413