Benchmarking the ONOS Intent Interfaces to Ease 5G Service Management

Addad, Rami Akrem; Dutra, Diego Leonel Cadette; Bagaa, Miloud; Taleb, Tarik; Flinck, Hannu; Namane, Mehdi

doi:10.1109/glocom.2018.8648078

Cited by 15 publications

(7 citation statements)

References 17 publications

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“…[73], [74] Intent Adaptation → Monitoring functionality for enabling the automation and dynamic orchestration of services via intents. → Exposure of resource layer through resource description models to enable trigger conditions.…”

Section: Network Orchestrationmentioning

confidence: 99%

Intent-driven autonomous network and service management in future cellular networks: A structured literature review

Mehmood,

Kralevska,

Palma

2021

Preprint

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Intent driven networks are an essential stepping stone in the evolution of network and service management towards a truly autonomous paradigm. User centric intents provide an abstracted means of impacting the design, provisioning, deployment and assurance of network infrastructure and services with the help of service level agreements and minimum network capability exposure. The concept of Intent Based Networking (IBN) poses several challenges in terms of the contextual definition of intents, role of different stakeholders, and a generalized architecture. In this review, we provide a comprehensive analysis of the state-of-the-art in IBN including the intent description models, intent lifecycle management, significance of IBN and a generalized architectural framework along with challenges and prospects for IBN in future networks. An analytical study is performed on the data collected from relevant studies primarily focusing on the inter-working of IBN with softwarized networking based on NFV/SDN infrastructures. Critical functions required in the IBN management and service model design are explored with different abstract modeling techniques and a converged architectural framework is proposed. The key findings include: 1) benefits and role of IBN in autonomous networking, 2) improvements needed to integrate intents as fundamental policies for service modeling and network management, 3) need for appropriate representation models for intents in domain agnostic abstract manner, and 4) need to include learning as a fundamental function in autonomous networks. These observations provide the basis for in-depth investigation and standardization efforts for IBN as a fundamental network management paradigm in beyond 5G networks.

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Section: Network Orchestrationmentioning

confidence: 99%

Intent-driven autonomous network and service management in future cellular networks: A structured literature review

Mehmood,

Kralevska,

Palma

2021

Preprint

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“…Numerous studies have been done in different application scenarios of intent-driven management. The main scenarios include: (1) intent-driven SDN management, which is highly related to the work of ONOS, Opendaylight, for example [9,10]; (2) Natural language-based intent translation e.g. [11]; (3) Traffic control, e.g.…”

Section: Academic Activitiesmentioning

confidence: 99%

Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system

Wu¹,

Horiuchi²,

Murase³

et al. 2021

J Cloud Comp

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In cloud service delivery, the cloud user is concerned about “what” function and performance the cloud service could provide, while the cloud provider is concerned about “how” to design proper underlying cloud resources to meet the cloud user’s requirements. We take the cloud user’s requirement as intent and aim to translate the intent autonomously into cloud resource decisions. In recent years, intent-driven management has been a widely spread management concept which aims to close the gap between the operator’s high-level requirements and the underlying infrastructure configuration complexity. Intent-driven management has drawn attention from telecommunication industries, standards organizations, the open source software community and academic research. There are various application of intent-driven management which are being studied and implemented, including intent-driven Software Defined Network (SDN), intent-driven wireless network configuration, etc. However, application of intent-driven management into the cloud domain, especially the translation of cloud performance-related intent into the amount of cloud resource, has not been addressed by existing studies. In this work, we have proposed an Intent-based Cloud Service Management (ICSM) framework, and focused on realizing the RDF (Resource Design Function) to translate cloud performance-related intent into concrete cloud computation resource amount settings that are able to meet the intended performance requirement. Furthermore, we have also proposed an intent breach prevention mechanism, P-mode, which is essential for commercial cloud service delivery. We have validated the proposals in a sensor-cloud system, designed to meet the user’s intent to process a large quantity of images collected by the sensors in a restricted time interval. The validation results show that the framework achieved 88.93 ~ 90.63% precision for performance inference, and exceeds the conventional resource approach in the aspects of human cost, time cost and design results. Furthermore, the intent breach prevention mechanism P-mode significantly reduced the breach risk, at the same time keeping a high level of precision.

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“…From the perspective of application fields, the exploration of IDN has involved in conventional wired/wireless networks, cloud networks, IoT, and the 5 th generation mobile communication technology (5G). In 5G networks, intent-based northbound interfaces [39], backhaul interfaces [40], network slicing [41], and service orchestration [42] have become major research directions. In the field of IoT, the authors in [43], [44] designed an intent-based northbound interface to enable cross-domain end-to-end service management.…”

Section: Academic Researchmentioning

confidence: 99%

A Survey on Intent-Driven Networks

et al. 2020

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Software defined network and network function visualization enhance the network flexibility and management agility, which increase network fragility and complexity. However, the vast majority of network parameters are manually configured, which makes the configuration failures still inevitable. Future networks should be self-configuring, self-managing, and self-optimizing. Intent-driven network (IDN) is a self-driving network that uses decoupling network control logic and closed-loop orchestration techniques to automate application intents. At present, a unified definition of IDN has not yet been presented, and the research background and current status of IDN are not clear. Considering the emerging applications and research of IDN, in this article, we survey existing technologies, clarify definitions, and summarize features for IDN. Specifically, we discuss the basic architecture and key technologies of IDN. In addition, diversity gains and challenges are analyzed briefly. Finally, some future work is highlighted and wider applications of IDN are provided for further research.

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Benchmarking the ONOS Intent Interfaces to Ease 5G Service Management

Cited by 15 publications

References 17 publications

Intent-driven autonomous network and service management in future cellular networks: A structured literature review

Intent-driven autonomous network and service management in future cellular networks: A structured literature review

Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system

A Survey on Intent-Driven Networks

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