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 2010-07-13T08:50:48Z
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 E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/12689
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.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 Guangzhou, China en_US
dc.publocation Auckland, New Zealand
dc.identifier.startpage 520 en_US
dc.identifier.endpage 523 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference International Conference on Hybrid Intelligent Systems
dc.conference International Conference on Computational Intelligence and Security
dc.for 0803 Computer Software
dc.personcode 980435
dc.percentage 100 en_US
dc.classification.name Computer Software en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Computational Intelligence and Security en_US
dc.date.activity 20061103 en_US
dc.date.activity 2006-12-13
dc.date.activity 2006-11-03
dc.location.activity Guangzhou, China en_US
dc.location.activity Auckland, New Zealand
dc.description.keywords Computational Intelligence, Information Security, Cryptographic en_US
dc.description.keywords T-S Fuzzy Model:Genetic Algorithm
dc.description.keywords MR damper
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
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history School of Computing and Communications (ID: 335)
utslib.collection.history General (ID: 2)


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