• DocumentCode
    650406
  • Title

    A Trust- and Cooperation-Based Solution of a Dynamic Resource Allocation Problem

  • Author

    Anders, Gerrit ; Steghofer, Jan-Philipp ; Siefert, Florian ; Reif, Wolfgang

  • Author_Institution
    Inst. for Software & Syst. Eng., Augsburg Univ., Augsburg, Germany
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Resource allocation is a common problem in technical systems. For instance, the main task in power management systems is to maintain the balance between energy production and consumption at all times. If such a resource allocation problem has to be solved in a multi-agent system in a decentralized or regionalized manner, agents have to rely on cooperation due to their limited resources and knowledge. In open systems, various uncertainties - introduced by the environment as well as the agents´ possibly self-interested or even malicious behavior - have to be taken into account to be able to allocate the resources according to the actual demand. Trust has been proposed as a concept to measure and deal with such uncertainties. In this paper, we present a trust- and cooperation-based algorithm that solves a dynamic resource allocation problem in open multi-agent systems. Throughout the paper, the problem of creating power plant schedules in decentralized autonomous power management systems serves as a running example to illustrate our algorithm and results.
  • Keywords
    energy consumption; multi-agent systems; power aware computing; resource allocation; trusted computing; decentralized autonomous power management systems; dynamic resource allocation problem; energy consumption; energy production; open multiagent systems; trust-and cooperation-based solution; Distributed Problem Solving; Electronic Markets; Open Multi-Agent Systems; Resource Allocation Problems; Smart Grids; Trust; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2013 IEEE 7th International Conference on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    1949-3673
  • Type

    conf

  • DOI
    10.1109/SASO.2013.33
  • Filename
    6676487