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-//
-// ============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}
-}
-----
-
-|===
-