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A hayekian self-organization approach to service allocation in computing systems

Title data

Eymann, Torsten ; Reinicke, Michael ; Freitag, Felix ; Navarro, Leandro ; Ardaiz, Oscar ; Artigas, Pau:
A hayekian self-organization approach to service allocation in computing systems.
In: Advanced Engineering Informatics. Vol. 19 (2005) Issue 3 . - pp. 223-233.
ISSN 1474-0346
DOI: https://doi.org/10.1016/j.aei.2005.05.014

Abstract in another language

Future 'on-demand' computing systems, often depicted as potentially large scale and complex Service-Oriented Architectures, will need innovative management approaches for controlling and matching services demand and supply. Centralized optimization approaches reach their bounds with increasing network size and number of nodes. The search for decentralized approaches has led to build on self-organization concepts like Autonomic Computing, which draw their inspiration from Biology. This article shows how an alternative self-organization concept from Economics, the Catallaxy concept of F.A. von Hayek, can be realized for allocating service supply and demand in a distributed 'on-demand' web services network. Its implementation using a network simulator allows evaluating the approach against a centralized resource broker, by dynamically varying connection reliability and node density in the network. Exhibiting Autonomic Computing properties, the Catallaxy realization outperforms a centralized broker in highly dynamic environments.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Autonomic computing;Digital business agents;Agent-based computational economics;Catallaxy;Service-oriented architecture;Resource brokering
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII > Chair Business Administration VII - Univ.-Prof. Dr. Torsten Eymann
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 000 Generalities, Science
300 Social sciences > 330 Economics
Date Deposited: 08 Sep 2014 13:20
Last Modified: 20 Feb 2019 09:08
URI: https://eref.uni-bayreuth.de/id/eprint/1013