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dc.contributor.authorDevitt, Ann
dc.contributor.authorBaliosian, Javier
dc.date.accessioned2009-04-27T17:37:22Z
dc.date.available2009-04-27T17:37:22Z
dc.date.createdNovember 2006en
dc.date.issued2006-11
dc.date.submitted2006en
dc.identifier.citationJavier Baliosian and Ann Devitt `Forecasting unstable policy enforcement? in IEEE International Conference on Systems and Networks Communications (ICSNC 2006), Tahiti, French Polynesia, November 2006en
dc.identifier.urihttp://hdl.handle.net/2262/29546
dc.descriptionPUBLISHEDen
dc.description.abstractPolicy-based network management (PBNM) is a promising but not yet delivering discipline aimed at automating network management decisions based on expert knowledge and strategic business objectives. One of the issues which is almost not being addressed in PBNM is the stability of the managed system as the result of the dynamic interaction between the ?natural? network behaviour with the autonomous decision making. Yet this issue is central to the design of a self-management networking system comprised of autonomous entities making decisions driven by policies with often unknown consequences. Decisions made by one entity may change the context and configuration of other autonomous entities which may in turn react changing the context and configuration of the first entity triggering an unbounded chain of re-configuration actions. It is possible to model obligation policies and their constraints with finite state transducers (FST). It is also possible to learn patterns of recurrent behaviour using Bayesian networks (BN), a structurally similar kind of graph. The method presented in this paper analytically composes both finite state machines to derive predictions of the consequences of enforcing a given policy improving system stability.en
dc.format.extent226220 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.rightsYen
dc.subjectself-configuring networksen
dc.subjectpolicy managementen
dc.subjectbayesian networksen
dc.titleForecasting unstable policy enforcementen
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/devittan


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