• DocumentCode
    1956829
  • Title

    Autonomous, Collaborative Control for Resilient Cyber Defense (ACCORD)

  • Author

    Wagner, Steffen ; Berg, E.V.D. ; Giacopelli, Jim ; Ghetie, Andrei ; Burns, Jack ; Tauil, Miriam ; Sen, Satyaki ; Wang, Michael ; Mung Chiang ; Tian Lan ; Laddaga, Robert ; Robertson, Paul ; Manghwani, Prakash

  • Author_Institution
    Appl. Commun. Sci., Inc., Piscataway, NJ, USA
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    39
  • Lastpage
    46
  • Abstract
    ACCORD addresses the need for robust, rapidly adaptive resource allocation mechanisms in cloud computing. It employs a distributed, game-theoretic approach to apportion computational loads in an efficient, prioritized, Pareto-optimal fashion among geographically dispersed cloud computing infrastructure. This paper describes ACCORD algorithms, software implementation, and initial experimental results. Our results illustrate how a distributed, ACCORD-enabled cloud architecture autonomously adapts to the loss of computing resources (e.g., due to failures, poor network connectivity, or cyber attack) while ensuring that users receive maximal, prioritized utility from available cloud resources.
  • Keywords
    Pareto optimisation; cloud computing; game theory; resource allocation; security of data; ACCORD algorithm; Pareto optimal fashion; autonomous collaborative control for resilient cyber defense; cloud architecture; cloud computing; cloud resource; computational load; computing resource; game-theoretic approach; resource allocation mechanism; Nash Bargaining; cloud computing; distributed resource allocation; game theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2012 IEEE Sixth International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    978-1-4673-5153-9
  • Type

    conf

  • DOI
    10.1109/SASOW.2012.16
  • Filename
    6498377