Towards a Management Paradigm with a Constrained Benchmark for Autonomic Communications

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dc.contributor.author Chiang, F
dc.contributor.author Braun, RM
dc.contributor.editor Cheung, YM
dc.contributor.editor Wang, Y
dc.contributor.editor Liu, H
dc.date.accessioned 2010-06-16T04:56:26Z
dc.date.issued 2006-01
dc.identifier.citation Computational Intelligence and Security: International Conference - CIS 06, 2006, pp. 520 - 523
dc.identifier.isbn 1-4244-0604-8
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/11711
dc.description.abstract This paper describes a management paradigm to give effect to autonomic activation, monitoring and control of services or products in the future converged telecommunications networks. It suggests an architecture that places the various management functions into a structure that can then be used to select those functions which may yield to autonomic management, as well as guiding the design of the algorithms. The validation of this architecture, with particular focus on service configuration, is done via a genetic algorithm -- Population Based Incremental Learning (PBIL). Even with this centralized adaptation strategy, the simulation results show that the proposed architecture and benchmark can be applied to this constrained benchmark, produces effective convergence performance in terms of finding nearly optimal configurations under multiple constraints.
dc.publisher IEEE
dc.relation.isbasedon 10.1007/978-3-540-74377-4_27
dc.subject Computational Intelligence, Information Security, Cryptographic
dc.subject Computational Intelligence, Information Security, Cryptographic
dc.title Towards a Management Paradigm with a Constrained Benchmark for Autonomic Communications
dc.type Conference Proceeding
dc.parent Computational Intelligence and Security: International Conference - CIS 06
dc.journal.number en_US
dc.publocation Amsterdam, Netherlands en_US
dc.publocation Guangzhou, China
dc.identifier.startpage 333 en_US
dc.identifier.endpage 358 en_US
dc.cauo.name BUS.School of Finance and Economics en_US
dc.conference Verified OK en_US
dc.conference International Conference on Computational Intelligence and Security
dc.for 0803 Computer Software
dc.personcode 716350 en_US
dc.personcode 0000017722 en_US
dc.personcode 010238 en_US
dc.personcode 030348 en_US
dc.percentage 60 en_US
dc.classification.name Macroeconomics (incl. Monetary and Fiscal Theory) en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.date.activity 2006-11-03
dc.location.activity en_US
dc.location.activity Guangzhou, China
dc.description.keywords real-financial interaction; market reaction coefficient; bounded rationality heterogeneous agents; non-linear stochastic models; stock market booms & crashes en_US
dc.description.keywords Computational Intelligence, Information Security, Cryptographic
dc.staffid 030348 en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Strength - Realtime Information Networks


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