INSpIRE: Integrated NFV-based Intent Refinement Environment

Scheid, Eder J.; Machado, Cristian Cleder; Franco, Muriel Figueredo; Santos, Ricardo Luis dos; Pfitscher, Ricardo P.; Schaeffer-Filho, Alberto; Granville, Lisandro Zambenedetti

doi:10.23919/inm.2017.7987279

Cited by 37 publications

(25 citation statements)

References 24 publications

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“…The authors in [23] designed reference models in communication network automation systems to support specific communication network service deployments. The intent in [24] is translated into a set of configurations that build the required service chain while meeting the specified QoS and security. An intent-based automation architecture was proposed in [25] to provide security services in multi-layer IP networks, Ethernet, and optical networks.…”

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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Section: Academic Researchmentioning

confidence: 99%

A Survey on Intent-Driven Networks

et al. 2020

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“…(DOVE) by IBM [8] Not specified Networking / NFV -Intent-based virtualisation Platform [9] Resources, Conditions, Priority, and Instructions Networking / NFV Presc. (INSpIRE) [10] Traffic Type, Source, Destination, Context level, Contexts list Networking / NFV Presc. Intent-based NBI service-oriented architecture [11] application-specific language Networking -(iNDIRA) […”

Section: B Different Intent Typesmentioning

confidence: 99%

SDN Heading North: Towards a Declarative Intent-based Northbound Interface

Alalmaei

Elkhatib

Bezahaf

et al. 2020

2020 16th International Conference on Network and Service Management (CNSM)

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The Intent-Based Northbound Interface (NBI) offers users the ability to express what they want to achieve instead of how to achieve it, enabling improvements to network management and reducing operational costs. However, development of an Intent-Based NBI remains in its infancy. Existing solutions do not allow users to express high-level operational targets that appropriately capture business objectives, nor link these to lower-level management policies and operations. We propose an extensible Intent-based NBI framework and a higher-level declarative intent expression to enable service-oriented intents with different targets. We focus on the creation of intents and their mapping from high-level expressions to low-level policies, and consider this from the perspective of an intent developer in the context of a Cloud CDN use case.

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“…Although an intent can be seen as an abstract, high-level policy used to operate a network, it also relies on the use of cognitive/autonomic functions to map high-level requests to low-level configurations and on programmable networks (e.g., SDN, NFV) to facilitate resource deployment and configuration. Intents could specify high-level security and resilience objectives using a controlled natural language as in [71]. To realize an intent, it is needed to: 1) determine the set of both physical and virtualized resources required to fulfill the high-level goal and 2) instantiate and configure the low-level information of the physical or virtual components.…”

Section: A Intent-based Networkingmentioning

confidence: 99%

Self-Organization and Resilience for Networked Systems: Design Principles and Open Research Issues

et al. 2019

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| Networked systems form the backbone of modern society, underpinning critical infrastructures such as electricity, water, transport and commerce, and other essential services (e.g., information, entertainment, and social networks).It is almost inconceivable to contemplate a future without even more dependence on them. Indeed, any unavailability of such critical systems is-even for short periods-a rather bleak prospect. However, due to their increasing size and complexity, they also require some means of autonomic formation and self-organization. This paper identifies the design principles and open research issues in the twin fields of self-organization and resilience for networked systems. In combination, they offer the prospect of combating threats and allowing essential services that run on networked systems to continue operating satisfactorily. This will be achieved, on the one hand, through the (self-)adaptation of networked systems and, on the other Manuscript hand, through structural and operational resilience techniques to ensure that they can detect, defend against, and ultimately withstand challenges.

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INSpIRE: Integrated NFV-based Intent Refinement Environment

Cited by 37 publications

References 24 publications

A Survey on Intent-Driven Networks

A Survey on Intent-Driven Networks

SDN Heading North: Towards a Declarative Intent-based Northbound Interface

Self-Organization and Resilience for Networked Systems: Design Principles and Open Research Issues

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