Enhancements to policy distribution for control flow and looping

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

Enhancements to policy distribution for control flow and looping

Sheridan-Smith, N O'Neill, T Leaney, J

Hunter, M

Permalink

Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, 3775 LNCS pp. 269 - 280
Issue Date:: 2005-12-01

Closed Access

	Filename	Description	Size
	2005003043.pdf		1.03 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Sheridan-Smith, N	en_US
dc.contributor.author	O'Neill, T	en_US
dc.contributor.author	Leaney, J https://orcid.org/0000-0001-5009-0401	en_US
dc.contributor.author	Hunter, M	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, 3775 LNCS pp. 269 - 280	en_US
dc.identifier.isbn	3540293884	en_US
dc.identifier.isbn	9783540293880	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1941
dc.description.abstract	Our previous work proposed a simple algorithm for the distribution and coordination of network management policies across a number of autonomous management nodes by partitioning an Abstract Syntax Tree into different branches and specifying coordination points based on data and control flow dependencies. We now extend this work to support more complex policies containing control flow logic and looping, which are part of the PRONTO policy language. Early simulation results demonstrate the potential performance and scalability characteristics of this framework. © IFIP International Federation for Information Processing 2005.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/11568285_23	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Enhancements to policy distribution for control flow and looping	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3775 LNCS	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Barcelona, Spain	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 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
pubs.volume	3775 LNCS	en_US

Abstract:

Our previous work proposed a simple algorithm for the distribution and coordination of network management policies across a number of autonomous management nodes by partitioning an Abstract Syntax Tree into different branches and specifying coordination points based on data and control flow dependencies. We now extend this work to support more complex policies containing control flow logic and looping, which are part of the PRONTO policy language. Early simulation results demonstrate the potential performance and scalability characteristics of this framework. © IFIP International Federation for Information Processing 2005.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/1941