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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| BibTeX
a|
[source,bibtex]
----
@inproceedings{noms/MeerMK18a,
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},
year = {2018}
----
|===
|
