A simulation of an economic, self-organising resource allocation approach for application layer networks

  • Authors:

  • Werner Streitberger;Torsten Eymann

  • Affiliations:

  • University of Bayreuth, Chair of Information Systems Management, Universitaetsstrasse 30, 95447 Bayreuth, Germany;University of Bayreuth, Chair of Information Systems Management, Universitaetsstrasse 30, 95447 Bayreuth, Germany

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2009

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Abstract

Application Layer Networks like Utility Grid Networks or Cloud Computing Systems, often depicted as large scale self-organising architectures using a shared infrastructure, will need innovative management approaches for controlling and matching services demand and supply. This article shows a self-organising resource allocation approach based on principles of the Catallaxy, an economic concept of F.A. von Hayek. The implementation uses a coevolutionary learning algorithm for adaptation of the agent strategy to the dynamic Application Layer Network environment. The simulation study performs a sensitivity analysis of a large scale Application Layer Network scenario with 2000 agents. A set of representative agents is selected and their evolutionary behaviour analysed.