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

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-o...

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Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2009-07, Vol.53 (10), p.1760-1770
Main Authors: Streitberger, Werner, Eymann, Torsten
Format: Article
Language:English
Subjects:
Agency theory
Application Layer Network
Catallaxy
Cloud Computing
Computer networks
Economic resource allocation
Grid Network
Learning
Resource allocation
Self-organisation
Simulation
Studies
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Summary: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.
ISSN:1389-1286
0169-7552
1872-7069
DOI:10.1016/j.comnet.2008.10.020