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// ============LICENSE_START=======================================================
//  Copyright (C) 2016-2018 Ericsson. All rights reserved.
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// SPDX-License-Identifier: CC-BY-4.0
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// @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}
}
----

|===