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diff --git a/src/site-docs/adoc/fragments/reference-publications/noms-2018a.adoc b/src/site-docs/adoc/fragments/reference-publications/noms-2018a.adoc deleted file mode 100644 index d580fb387..000000000 --- a/src/site-docs/adoc/fragments/reference-publications/noms-2018a.adoc +++ /dev/null @@ -1,49 +0,0 @@ -// -// ============LICENSE_START======================================================= -// Copyright (C) 2016-2018 Ericsson. All rights reserved. -// ================================================================================ -// This file is licensed under the CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE -// Full license text at https://creativecommons.org/licenses/by/4.0/legalcode -// -// SPDX-License-Identifier: CC-BY-4.0 -// ============LICENSE_END========================================================= -// -// @author Sven van der Meer (sven.van.der.meer@ericsson.com) -// - -== Unifying Policy Theory (the APEX theory) (NOMS'18) - -[width="100%",cols="15%,90%"] -|=== - -h| Title -e| Taming Policy Complexity: Model to Execution - -h| Venue -| IEEE NOMS, Taipei, April 2018 - -h| Abstract -| Since the 1970’s it has been acknowledged that a complex system can be broken into (a) its invariant functional parts (mechanism), and (b) the externalized choices for how the system should behave (policy). Policy-based management’s main objective is to separate and externalize the decisions required by a system from the mechanisms provided by the system, and provide a way to define and evaluate these decisions. A few decades later, we have today a plethora of different policy models and even more policy languages – plus tooling – offering policy-based solutions for virtually any use case and scenario. However, policy-based management as a standalone domain has never been evaluated in terms of which parts are variant / invariant, i.e. which parts of policy-based management can be domain-, model-, language-, usecase-independent. In this paper, we introduce and define a formal universal policy model that does exactly that. The result is a model that can be used to design, implement, and deploy immutable policy infrastructure (engine and executor) being able to execute (virtually) any policy model. - -h| Links -| link:https://www.researchgate.net/publication/325057975_Taming_Policy_Complexity_Model_to_Execution[Research Gate] [accessed Sep 4, 2018] - -h| BibTeX -a| -[source,bibtex] ----- -@inproceedings{DBLP:conf/noms/MeerKF18, - author = {Sven van der Meer and John Keeney and Liam Fallon}, - title = {Taming policy complexity: Model to execution}, - booktitle = {2018 {IEEE/IFIP} Network Operations and Management Symposium, {NOMS} 2018, Taipei, Taiwan, April 23-27, 2018}, - pages = {1--8}, - year = {2018}, - crossref = {DBLP:conf/noms/2018}, - doi = {10.1109/NOMS.2018.8406172}, - biburl = {https://dblp.org/rec/bib/conf/noms/MeerKF18}, - bibsource = {dblp computer science bibliography, https://dblp.org} -} ----- - -|=== - |