Apex: An engine for dynamic adaptive policy execution

Fallon, Liam; Meer, Sven van der; Keeney, John

doi:10.1109/noms.2016.7502880

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…UPEE has been implemented in our APEX policy engine [15] available as open source in the ONAP platform [7]. A deployment of APEX in North America is described in [54].…”

Section: Discussionmentioning

confidence: 99%

“…This translation uses defined templates detailed in §III. The resulting Universal Policy Execution Environment (UPEE) is described in §V, with discussion of a candidate concrete implementation of the UPM and UPEE called APEX [15].…”

Section: A This Workmentioning

confidence: 99%

“…Our APEX policy engine [15] implements all shown components of UPEE. We support plugins for logic written in Java, Javascript, Python, Ruby, Drools, and XACML.…”

Section: Universal Policy Execution Environmentmentioning

confidence: 99%

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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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“…UPEE has been implemented in our APEX policy engine [15] available as open source in the ONAP platform [7]. A deployment of APEX in North America is described in [54].…”

Section: Discussionmentioning

confidence: 99%

Section: A This Workmentioning

confidence: 99%

See 1 more Smart Citation

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 DDoS mitigation policy was implemented as a Dynamically Adaptive Policy [16] in the Apex Policy Engine [11]. A screenshot of part of the policy is shown in Fig.5.…”

Section: The Ddos Mitigation Policymentioning

confidence: 99%

“…To process and correlate the various event streams the Ericsson xStream[10] platform is used. The Apex Policy Engine[11] is used to make decisions about abnormal traffic flows should be handled.…”

mentioning

confidence: 99%

Using the COMPA autonomous architecture for mobile network security

Fallon

Keeney

McFadden

et al. 2017

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

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The COMPA (Control, Orchestration, Management, Policy, and Analytics) adaptive control loop realizes an automation pattern that can operate recursively at many layers in a carrier network. An overall COMPA autonomic control loop can orchestrate functions, themselves implemented as COMPA autonomic loops. Thus the COMPA automation patter can recurse right down to resource level in a network. One of the most exciting application areas for the COMPA automation pattern is in assuring mobile network security. The recursive nature of the pattern is the ideal mechanism for automating monitoring and root cause analysis of security threats to networks. In this paper we present a Proof of Concept of a COMPA compliant system for a Distributed Denial of Service (DDoS) scenario. The system monitors, performs root cause analysis, and mitigates a DDoS attack. The system was built by integrating a number of existing components that were deployed as VNFs. Our experiences of using the system were that the system could handle a DDoS attack quickly and automatically. In addition, the system was very flexible to build and deploy.

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NLP Powered Intent Based Network Management for Private 5G Networks

et al. 2023

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Intent driven networking holds the promise of simplifying network operations by allowing operators to use declarative, instead of imperative, interfaces. Adoption of this technology for 5G and beyond networks is however still in its infancy, where the required architectures, platforms, interfaces and algorithms are still being discussed. In this work, we present the design and implementation of a novel intent based platform for private 5G networks powered by a Natural Language Processing (NLP) interface. We demonstrate how our platform simplifies network operations in three relevant private network use cases, including: i) an intent based slice provisioning use case, ii) an intent based positioning use case, and iii) an intent based service deployment use case. Finally, all use cases are benchmarked in terms of intent provisioning time.

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Apex: An engine for dynamic adaptive policy execution

Cited by 9 publications

References 4 publications

Taming policy complexity: Model to execution

Taming policy complexity: Model to execution

Using the COMPA autonomous architecture for mobile network security

NLP Powered Intent Based Network Management for Private 5G Networks

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