A simulation of an economic,self-organising resource allocation approach for application layer networks |
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| Authors: | Werner Streitberger Torsten Eymann |
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| Affiliation: | 1. Department of Animal Health, NEIKER – Instituto Vasco de Investigación y Desarrollo Agrario, Berreaga 1, 48160 Derio, Bizkaia, Spain;2. Laboratoire d’épidémiologie et microbiologie vétérinaire, service d’entomologie médicale, Institut Pasteur de Tunis, Tunis 1002, Tunisia;3. Université Tunis El-Manar, Tunis, Tunisia;1. Department of Surgery, University of Iowa, Carver College of Medicine, Iowa City, Iowa;2. Department of Family Medicine, University of Iowa, Carver College of Medicine, Iowa City, Iowa;1. University of Rennes 1, IRISA, F-35042 Rennes, France;2. UMR 1069, Soil Agro and HydroSystem, INRA, Agrocampus Ouest, F-35000 Rennes, France;3. INRIA Bretagne Atlantique, IRISA, F-35042 Rennes, France;1. Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA;2. Department of Family Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA;3. Division of Prevention and Primary Care, New York City Department of Health and Mental Hygiene, Gotham Center, Long Island City, NY, USA;4. Communicable Disease Service Infectious and Zoonotic Disease, New Jersey Department of Health, Trenton, NJ, USA;5. Minnesota Department of Health, St Paul, MN, USA;6. Bureau of Epidemiology, Florida Department of Health, Tallahassee, FL, USA;7. Division of Disease Control, North Dakota Department of Health, Bismarck, ND, USA;8. Public Health Preparedness and Epidemiology Program, Texas Department of Health, Temple, TX, USA;9. Acute Communicable Disease Control Program, Los Angeles County Department of Public Health, Los Angeles, CA, USA;10. Division of Disease Control, Philadelphia Department of Public Health, Philadelphia, PA, USA;11. Center for Acute Disease Epidemiology, Iowa Department of Public Health, Des Moines, IA, USA;12. Division of Surveillance and Investigation, Virginia Department of Health, Richmond, VA, USA;13. Acute and Communicable Disease Program, Oregon Public Health Division, Portland, OR, USA;14. Division of Disease Control and Prevention, Utah Department of Health, Salt Lake City, UT, USA;15. Council of State and Territorial Epidemiologists, Atlanta, GA, USA |
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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. |
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