• DocumentCode
    2760072
  • Title

    Technological Enablers for Self-Manageable Future Internet Elements

  • Author

    Raptis, Tilemachos ; Polychronopoulos, Costas ; Kousaridas, Apostolis ; Spapis, Panagiotis ; Gazis, Vangelis ; Alonistioti, Nancy ; Chochliouros, Ioannis

  • Author_Institution
    Dept. Of Inf. & Telecommun., Univ. of Athens, Athens, Greece
  • fYear
    2009
  • fDate
    15-20 Nov. 2009
  • Firstpage
    499
  • Lastpage
    504
  • Abstract
    In its 5th decade, the Internet´s future evolution is hampered by the increasing complexity and sophistication of the processes managing its infrastructure. Management costs require a technically skilled human intellect, amounting to a substantial part of total cost of ownership. Self-management is positioned as a key capacity towards a scalable future Internet architecture. Herein we present key technological enablers for self-manageable future Internet systems, namely monitoring, decision-making and machine learning. We survey the state-of-the-art in network management aspects of these thematic areas and present a use case where their synergetic capacities render solutions to a known transport problem in wireless settings. Finally, we conclude the paper with a discussion of important issues for these technological enablers in the context of future Internet.
  • Keywords
    Internet; computer network management; decision making; learning (artificial intelligence); Internet architecture; decision-making; machine learning; network management; self-manageable future Internet element; Condition monitoring; Costs; Decision making; Electronic mail; Humans; IP networks; Machine learning; Protocols; Telecommunication computing; Web and internet services; Future Internet; decision-making; machine learning; monitoring; self-organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-5166-1
  • Electronic_ISBN
    978-0-7695-3862-4
  • Type

    conf

  • DOI
    10.1109/ComputationWorld.2009.34
  • Filename
    5359638