Policy-based Management: A Historical Perspective

Boutaba, Raouf; Aib, Issam

doi:10.1007/s10922-007-9083-8

Cited by 100 publications

(47 citation statements)

References 75 publications

(69 reference statements)

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“…This is then followed by policy standards, such as the IETF policy framework, DMTF CIM, TMF SID, to name a just view. A detailed historic perspective on policy can be found in [27].…”

Section: B Related Workmentioning

confidence: 99%

Taming policy complexity: Model to execution

Meer¹,

Keeney²,

Fallon³

2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

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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.

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“…This is then followed by policy standards, such as the IETF policy framework, DMTF CIM, TMF SID, to name a just view. A detailed historic perspective on policy can be found in [27].…”

Section: B Related Workmentioning

confidence: 99%

Taming policy complexity: Model to execution

Meer¹,

Keeney²,

Fallon³

2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

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“…The final objective requires that there be a process for incrementally decomposing abstract requirements into successively more concrete ones, ensuring that at each stage the decomposition is correct and consistent. Table. I below summarizes simple refinement example as presented in [29], and slightly re-interpreted, more detailed examples will follow later in the Section V. In light of above example we need formal technique for refining high-level goals into more concrete ones; and finally a means of inferring the combination of operations that will achieve these concrete goals such of the work done in the [20] for refining goals into implementation specifications for policy refinement. They have proposed following properties of the goals for refinement process:…”

Section: Policy Based Resilience Managementmentioning

confidence: 99%

Towards policy refinement for resilience management in cloud

Shirazi

Simpson

Syeda

et al. 2016

2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM)

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Abstract-Cloud computing is becoming increasingly important for provision of critical services because of potential cost saving, scalability and elasticity. Therefore, it is particularly important for clouds and cloud-based services to be resilient, i.e., they are able to operate correctly and continuously even in the presence of challenges. To do this, a number of resiliencesupporting mechanisms are needed at various levels in cloud infrastructure. It is non-trivial to manage these mechanisms and there is a need for flexible instruments which assist cloud providers in this complex task. Policy based management is an established instrument to manage resilience supporting mechanisms and they are useful if it allows not only high level description of abstract policy (e.g high level security and resilience requirements), but also enables such policy to be refined and eventually mapped into an appropriate low levels in cloud settings. This paper sheds light on basic concepts behind policy based management in cloud, more specifically it emphasizes the use of policy refinement which is the process of translating higher level requirements (such as security and resilience requirements) into the sequence of actions at lower levels that can implement them, in order to generate more refined policies that govern the behaviour of an overall cloud system when under challenge. We finally present two example scenarios on how policy refinement can work for the cloud to establish its relevance for the overall resilience management.

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“…Over the last decade, research on policy-based management [2] has primarily been applied to facilitate management tasks, such as component configuration, security, or Quality of Service in large-scale distributed systems. Policy-based management allows the specification of requirements about the intended behaviour of a managed system using a high-level policy language, which are then automatically enforced in the system.…”

Section: Policy Techniques For Tailoring Component Behaviourmentioning

confidence: 99%

Fine-Grained Tailoring of Component Behaviour for Embedded Systems

Matthys

Hughes

Michiels

et al. 2009

Software Technologies for Embedded and Ubiquitous Systems

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Abstract. The application of run-time reconfigurable component models to networked embedded systems has a number of significant advantages such as encouraging software reuse, adaptation to dynamic environmental conditions and management of changing application demands. However, reconfiguration at the granularity of components is inherently heavy-weight and thus costly in embedded scenarios. This paper argues that in some cases component-based reconfiguration imposes an unnecessary overhead and that more fine-grained support for the tailoring of component functionality is required. This paper advocates for a highlevel policy-based approach to tailoring component functionality. To that end, we introduce a lightweight framework that supports fine-grained adaptation of component functionality based upon high-level policy specifications. We have realized and evaluated a prototype of this framework for the LooCI component model.

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Policy-based Management: A Historical Perspective

Cited by 100 publications

References 75 publications

Taming policy complexity: Model to execution

Taming policy complexity: Model to execution

Towards policy refinement for resilience management in cloud

Fine-Grained Tailoring of Component Behaviour for Embedded Systems

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