Policy-based coordination and management of SON functions

Bandh, Tobias; Romeikat, Raphael; Sanneck, Henning; Tang, Haitao

doi:10.1109/inm.2011.5990492

Cited by 33 publications

(15 citation statements)

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“…This first set covers more complex policy models, e.g. implementing SON functions as described in [47]. The second set looks at situations were a state does not produce an expected output event.…”

Section: Policy Domain Modelmentioning

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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Section: Policy Domain Modelmentioning

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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“…Fig. 1 shows an example of this category which aims at a virtual locking of network resources in order to avoid conflicts [7].…”

Section: Pre-action Coordinationmentioning

confidence: 99%

“…Whenever there is no conflict, the coordinator replies with an acknowledgement, or it applies the coordination logic and sends the respective reply (acknowledge, reject, rollback). scheme (described in [7]) are shown (non-shaded area), yet the concept is not dependent on a specific coordination scheme.…”

Section: Efficient Coordination Of Request Batchesmentioning

confidence: 99%

Efficient, Dynamic Coordination of Request Batches in C-SON Systems

Romeikat

Sanneck

Bandh

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Abstract-Self-Organizing Mobile Networks contain a potentially large number of SON function instances that need to be coordinated in order to achieve system-level operational goals. Many SON functions (and thus their coordination) will be realized in a centralized way (C-SON) due to the required integration with a (centralized) legacy OAM system. In such systems, many configuration requests ("batches") are treated in regular time intervals For SON functions, this may lead to undesired effects (monopolization by high priority functions and frequent rollbacks of configuration actions). This paper proposes a novel coordination approach combining an output buffer of pending configuration requests with dynamic priorities for different SON function types. A simulated network scenario exhibiting a specific optimization problem (closure of a coverage hole) is used to evaluate the proposed method. The method is able to avoid the undesired effects and approximate legacy workflows in network optimization while still keeping the autonomous characteristic of SON functions.

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“…A well-known application domain is network management, where policies are widely used for automating network management processes. The usage of policy-based systems for the management of mobile networks was recently considered in [2]- [7].…”

Section: Introductionmentioning

confidence: 99%

Automated refinement of policies for network management

Romeikat

Bauer

Sanneck

2011

The 17th Asia Pacific Conference on Communications

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Abstract-Policy-based management is a flexible approach for the management of networks as policies make contextsensitive and automated decisions. For their effective development it is desired to specify policies at a high level of abstraction initially and to refine them until they are represented in a machine-executable way. We present an approach that uses models to specify event-condition-action (ECA) policies at different abstraction layers and that uses model transformations to refine them in an automated way. A relational algebra is used to formally validate the models and define the semantics of the refinement process. One benefit of the approach is the automated policy refinement at runtime. Changes at the high-level models are automatically reflected in their low-level implementation through refinement. This allows to manage a system at a high level of abstraction. The approach is applied to the network management domain and demonstrated with policies for physical cell identification (PCI) in a mobile network. It can also be applied to other domains and supports a flexible number of abstraction layers.

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Policy-based coordination and management of SON functions

Cited by 33 publications

References 1 publication

Taming policy complexity: Model to execution

Taming policy complexity: Model to execution

Efficient, Dynamic Coordination of Request Batches in C-SON Systems

Automated refinement of policies for network management

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