A policy-driven autonomous system for evolutive and adaptive management of complex services and networks

Sheridan-Smith, N; Leaney, J; O'Neill, T; Hunter, M

A policy-driven autonomous system for evolutive and adaptive management of complex services and networks

Sheridan-Smith, N Leaney, J

O'Neill, T Hunter, M

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 12th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECS 2005, 2005, pp. 389 - 397
Issue Date:: 2005-12-09

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Field	Value	Language
dc.contributor.author	Sheridan-Smith, N	en_US
dc.contributor.author	Leaney, J https://orcid.org/0000-0001-5009-0401	en_US
dc.contributor.author	O'Neill, T	en_US
dc.contributor.author	Hunter, M	en_US
dc.date.issued	2005-12-09	en_US
dc.identifier.citation	Proceedings - 12th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECS 2005, 2005, pp. 389 - 397	en_US
dc.identifier.isbn	0769523080	en_US
dc.identifier.isbn	9780769523088	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2364
dc.description.abstract	Many existing management systems are not evolutive or adaptive, leading to multiplicity over time and increasing the management burden. Policy-based management approaches may assist in making networks less complex and more automated, but to date they have not yet been able to evolve to support new service sets or provide the capacity for differentiation. We present the architecture for a policy-based system named Pronto that helps to deal with these issues. Layered network and service models are built above an extensible virtual device model that supports heterogenous management interfaces. Interchangeable management components provide the basic building blocks to construct logical services. The integrated policy-driven service definition language automates the management of the services in a manner that is adaptive, dynamic and reactive to improve the user's overall service experience. © 2005 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP0219784
dc.relation.ispartof	Proceedings - 12th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECS 2005	en_US
dc.title	A policy-driven autonomous system for evolutive and adaptive management of complex services and networks	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Greenbelt, Maryland, USA	en_US
dc.location.activity	Shanghai, China
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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Many existing management systems are not evolutive or adaptive, leading to multiplicity over time and increasing the management burden. Policy-based management approaches may assist in making networks less complex and more automated, but to date they have not yet been able to evolve to support new service sets or provide the capacity for differentiation. We present the architecture for a policy-based system named Pronto that helps to deal with these issues. Layered network and service models are built above an extensible virtual device model that supports heterogenous management interfaces. Interchangeable management components provide the basic building blocks to construct logical services. The integrated policy-driven service definition language automates the management of the services in a manner that is adaptive, dynamic and reactive to improve the user's overall service experience. © 2005 IEEE.

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http://hdl.handle.net/10453/2364