Towards a management paradigm with a constrained benchmark for autonomic communications

Chiang, F; Braun, R

Towards a management paradigm with a constrained benchmark for autonomic communications

Chiang, F Braun, R

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Publication Type:: Chapter
Citation:: 2007, 4456 LNAI pp. 250 - 258
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Chiang, F	en_US
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	2007, 4456 LNAI pp. 250 - 258	en_US
dc.identifier.isbn	9783540743767	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7894
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. © Springer-Verlag Berlin Heidelberg 2007.	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Towards a management paradigm with a constrained benchmark for autonomic communications	en_US
dc.type	Chapter
utslib.citation.volume	4456 LNAI	en_US
utslib.for	100504 Data Communications	en_US
utslib.for	100510 Wireless Communications	en_US
pubs.embargo.period	Not known	en_US
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	4456 LNAI	en_US

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. © Springer-Verlag Berlin Heidelberg 2007.

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http://hdl.handle.net/10453/7894