• DocumentCode
    1876927
  • Title

    Mitigating systemic risks in future networks

  • Author

    Manzalini, Antonio ; Crespi, Noel

  • Author_Institution
    Strategy - Future Centre, Telecom Italia, Italy
  • fYear
    2012
  • fDate
    17-19 Sept. 2012
  • Firstpage
    176
  • Lastpage
    180
  • Abstract
    This paper elaborates about the potential risks of systemic instabilities in future networks and proposes a methodology to control and mitigate them. The starting concept is modeling the network as a complex environment (e.g. ecosystem) of resources and associated controllers in a continuous and dynamic game of cooperation and competition. Key observation is that Internet might be viewed as “self-organizing” and that this is achieved through “constrained optimizations” (through protocols methods, algorithms, etc). The methodology foresees defining and associating utility functions to these controllers and elaborating a global utility function (as an aggregated function of local utilities) for the overall network. It is conjectured that the optimization of proper global utility functions ensures network optimization and stability at the same time.
  • Keywords
    cloud computing; Internet; cloud computing; constrained optimization; continuous game; dynamic game; future network; global utility function; network optimization; network stability; systemic risk mitigation; Dynamic scheduling; Ecosystems; Optimization; Protocols; Routing; Software; Stability analysis; Cloud Computing; Network of Networks; Self-Governance; Self-Organization; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2012 IEEE 17th International Workshop on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-3123-4
  • Electronic_ISBN
    978-1-4673-3124-1
  • Type

    conf

  • DOI
    10.1109/CAMAD.2012.6335327
  • Filename
    6335327