A Framework for Automating Service and Network Management with YANG
draft-wu-model-driven-management-virtualization-07
Document | Type |
Replaced Internet-Draft
(individual)
Expired & archived
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Authors | Qin Wu , Mohamed Boucadair , Diego Lopez , Chongfeng Xie , Liang Geng | ||
Last updated | 2019-10-27 | ||
Replaced by | draft-ietf-opsawg-model-automation-framework | ||
RFC stream | (None) | ||
Intended RFC status | (None) | ||
Formats | |||
Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Replaced by draft-ietf-opsawg-model-automation-framework | |
Telechat date | (None) | ||
Responsible AD | (None) | ||
Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Data models for service and network management provides a programmatic approach for representing (virtual) services or networks and deriving (1) configuration information that will be communicated to network and service components that are used to build and deliver the service and (2) state information that will be monitored and tracked. Indeed, data models can be used during various phases of the service and network management life cycle, such as service instantiation, service provisioning, optimization, monitoring, and diagnostic. Also, data models are instrumental in the automation of network management. They also provide closed-loop control for the sake of adaptive and deterministic service creation, delivery, and maintenance. This document provides a framework that describes and discusses an architecture for service and network management automation that takes advantage of YANG modeling technologies. This framework is drawn from a network provider perspective irrespective of the origin of a data module; it can accommodate even modules that are developed outside the IETF. The document aims to exemplify an approach that specifies the journey from technology-agnostic services to technology-specific actions.
Authors
Qin Wu
Mohamed Boucadair
Diego Lopez
Chongfeng Xie
Liang Geng
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)