The ONAP project addresses the rising need for a common automation platform for telecommunication, cable, and cloud service providers—and their solution providers—to deliver differentiated network services on demand, profitably and competitively, while leveraging existing investments.
Prior to ONAP, operators of telecommunication networks have been challenged to keep up with the scale and cost of manual changes required to implement new service offerings, from installing new data center equipment to, in some cases, upgrading on-premises customer equipment. Many are seeking to exploit SDN and NFV to improve service velocity, simplify equipment interoperability and integration, and reduce overall CapEx and OpEx costs. In addition, the current, highly fragmented management landscape makes it difficult to monitor and guarantee service-level agreements (SLAs). These challenges are still very real now as ONAP creates its third release.
ONAP is addressing these challenges by developing global and massive scale (multi-site and multi-VIM) automation capabilities for both physical and virtual network elements. It facilitates service agility by supporting data models for rapid service and resource deployment, and providing a common set of Northbound REST APIs that are open and interoperable, and by supporting model driven interfaces to the networks. ONAP’s modular and layered nature improves interoperability and simplifies integration, allowing it to support multiple VNF environments by integrating with multiple VIMs, VNFMs, SDN Controllers, and even legacy equipment. ONAP’s consolidated VNF requirements publication will enable commercial development of ONAP-compliant VNFs. This approach allows network and cloud operators to optimize their physical and virtual infrastructure for cost and performance; at the same time, ONAP’s use of standard models reduces integration and deployment costs of heterogeneous equipment, while minimizing management fragmentation.
The ONAP platform allows end user organizations and their network/cloud providers to collaboratively instantiate network elements and services in a dynamic, closed control loop process, with real-time response to actionable events. In order to design, engineer, plan, bill and assure these dynamic services, there are three major requirements:
- A robust design framework that allows specification of the service in all aspects – modeling the resources and relationships that make up the service, specifying the policy rules that guide the service behavior, specifying the applications, analytics and closed control loop events needed for the elastic management of the service.
- An orchestration and control framework (Service Orchestrator and Controllers) that is recipe/policy-driven to provide automated instantiation of the service when needed and managing service demands in an elastic manner.
- An analytic framework that closely monitors the service behavior during the service lifecycle based on the specified design, analytics and policies to enable response as required from the control framework, to deal with situations ranging from those that require healing to those that require scaling of the resources to elastically adjust to demand variations.
To achieve this, ONAP decouples the details of specific services and technologies from the common information models, core orchestration platform, and generic management engines (for discovery, provisioning, assurance etc.). Furthermore, it marries the speed and style of a DevOps/NetOps approach with the formal models and processes operators require to introduce new services and technologies. It leverages cloud-native technologies including Kubernetes to manage and rapidly deploy the ONAP platform and related components. This is in stark contrast to traditional OSS/Management software platform architectures, which hardcoded services and technologies, and required lengthy software development and integration cycles to incorporate changes.
The ONAP Platform enables product/service independent capabilities for design, creation and lifecycle management, in accordance with the following foundational principles:
- Ability to dynamically introduce full service lifecycle orchestration (design, provisioning and operation) and service API for new services and technologies without the need for new platform software releases or without affecting operations for the existing services
- Carrier-grade scalability including horizontal scaling (linear scale-out) and distribution to support large number of services and large networks
- Metadata-driven and policy-driven architecture to ensure flexible and automated ways in which capabilities are used and delivered
- The architecture shall enable sourcing best-in-class components
- Common capabilities are ‘developed’ once and ‘used’ many times
- Core capabilities shall support many diverse services and infrastructures
- The architecture shall support elastic scaling as needs grow or shrink
2. ONAP Architecture¶
The platform provides the common functions (e.g., data collection, control loops, meta-data recipe creation, policy/recipe distribution, etc.) necessary to construct specific behaviors.
To create a service or operational capability, it is necessary to develop service/operations-specific service definitions, data collection, analytics, and policies (including recipes for corrective/remedial action) using the ONAP Design Framework Portal.
Figure 1 provides a high-level view of the ONAP architecture and microservices-based platform components.
Figure 1: ONAP Platform architecture (Casablanca Release)
Figure 2 below, provides a simplified functional view of the architecture, which highlights the role of a few key components:
- Design time environment for onboarding services and resources into ONAP and designing required services.
- External API provides northbound interoperability for the ONAP Platform and Multi-VIM/Cloud provides cloud interoperability for the ONAP workloads.
- OOM provides the ability to manage cloud-native installation and deployments to Kubernetes-managed cloud environments.
- ONAP Common Services manages complex and optimized topologies. MUSIC allows ONAP to scale to multi-site environments to support global scale infrastructure requirements. The ONAP Optimization Framework (OOF) provides a declarative, policy-driven approach for creating and running optimization applications like Homing/Placement, and Change Management Scheduling Optimization.
- Information Model and framework utilities continue to evolve to harmonize the topology, workflow, and policy models from a number of SDOs including ETSI NFV MANO, TM Forum SID, ONF Core, OASIS TOSCA, IETF and MEF.
Figure 2. Functional view of the ONAP architecture
The Casablanca release has a number of important new features in the areas of design time and runtime, ONAP installation, and S3P.
Design time: The Service Design and Creation (SDC) project in ONAP has two new dashboards—DCAE design studio, SO Workflow Designer—to help designers, product managers, TechOps, and VNF owners create artifacts in one unified design palette.
Runtime: Service Orchestration (SO) and controllers have new functionality to support physical network functions (PNFs), reboot, traffic migration, expanded hardware platform awareness (HPA), cloud agnostic intent capabilities, improved homing service, SDN geographic redundancy, scale-out and edge cloud onboarding. This will expand the actions available to support lifecycle management functionality, increase performance and availability, and unlock new edge automation and 5G use cases. With support for ETSI NFV-SOL003, the introduction of an ETSI compliant VNFM is simplified.
In the area of monitoring, analytics, and service assurance, ONAP has early support for the Linux Foundation PNDA project in DCAE as a compliment to CDAP. Next, the data collection framework can now collect real-time messages through a high-volume collector, handle PNFs, and support SNMP and bulk performance management data files. The Policy project supports a new policy engine as well as the new Casablanca blueprints and can distribute policies through policy design capabilities in SDC, simplifying the design process. Next, the Holmes alarm correlation engine features a new GUI and provides richer functionality through scripting, again simplifying how rapidly alarm correlation rules can be developed.
Moreover, there are new features in A&AI to support audit capabilities by providing historical data. ONAP northbound API continues to align better with TMForum (around ServiceOrder) and MEF APIs (around Legato and Interlude APIs) to simplify integration with OSS/BSS. The VID and UUI operations GUI projects can support a larger range of lifecycle management actions through a simple point and click interface allowing operators to perform more tasks with ease. Furthermore, The CLAMP project offers a new dashboard to view DMaaP and other events during design and runtime to ease the debugging of control-loop automation. ONAP has experimentally introduced ISTIO in certain components to progress the introduction of Service Mesh.
ONAP installation: The ONAP Operations Manager (OOM) continues to make progress in streamlining ONAP installation by using Kubernetes (Docker and Helm Chart technologies). In Casablanca, OOM supports pluggable persistent storage including GlusterFS, providing users with more storage options. In a multi-node deployment, OOM allows more control on the placement of services based on available resources or node selectors. Finally, OOM now supports backup/restore of an entire k8s deployment thus introducing data protection.
Casablanca has introduced the controller design studio, as part of the controller framework, which enables a model driven approach for how an ONAP controller controls the network resources.
Deployability: Casablanca continued the 7 Dimensions momentum (Stability, Security, Scalability, Performance; and Resilience, Manageability, and Usability) from the prior to the Beijing release. A new logging project initiative called Post Orchestration Model Based Audit (POMBA), can check for deviations between design and ops environments thus increasing network service reliability. Numerous other projects ranging from Logging, SO, VF-C, A&AI, Portal, Policy, CLAMP and MSB have a number of improvements in the areas of performance, availability, logging, move to a cloud native architecture, authentication, stability, security, and code quality. Finally, versions of OpenDaylight and Kafka that are integrated in ONAP were upgraded to the Oxygen and v0.11 releases providing new capabilities such as P4 and data routing respectively.
3. Microservices Support¶
As a cloud-native application that consists of numerous services, ONAP requires sophisticated initial deployment as well as post-deployment management.
The ONAP deployment methodology needs to be flexible enough to suit the different scenarios and purposes for various operator environments. Users may also want to select a portion of the ONAP components to integrate into their own systems. And the platform needs to be highly reliable, scalable, secure and easy to manage. To achieve all these goals, ONAP is designed as a microservices-based system, with all components released as Docker containers.
The ONAP Operations Manager (OOM) is responsible for orchestrating the end-to-end lifecycle management and monitoring of ONAP components. OOM uses Kubernetes to provide CPU efficiency and platform deployment. In addition, OOM helps enhance ONAP platform maturity by providing scalability and resiliency enhancements to the components it manages.
OOM is the lifecycle manager of the ONAP platform and uses the Kubernetes container management system and Consul to provide the following functionality:
- Deployment - with built-in component dependency management (including multiple clusters, federated deployments across sites, and anti-affinity rules)
- Configuration - unified configuration across all ONAP components
- Monitoring - real-time health monitoring feeding to a Consul GUI and Kubernetes
- Restart - failed ONAP components are restarted automatically
- Clustering and Scaling - cluster ONAP services to enable seamless scaling
- Upgrade - change out containers or configuration with little or no service impact
- Deletion - clean up individual containers or entire deployments
OOM supports a wide variety of cloud infrastructures to suit your individual requirements.
Microservices Bus (MSB) provides fundamental microservices supports including service registration/discovery, external API gateway, internal API gateway, client software development kit (SDK), and Swagger SDK. MSB supports both OpenStack (Heat) and bare metal deployment. When integrating with OOM, MSB has a Kube2MSB registrar which can grasp services information from k8s metafile and automatically register the services for ONAP components.
ONAP delivers a single, consistent user experience to both design time and runtime environments, based on the user’s role. Role changes are configured within a single ONAP instance.
This user experience is managed by the ONAP Portal, which provides access to design, analytics and operational control/administration functions via a shared, role-based menu or dashboard. The portal architecture provides web-based capabilities such as application onboarding and management, centralized access management through the Authentication and Authorization Framework, and dashboards, as well as hosted application widgets.
The portal provides an SDK to enable multiple development teams to adhere to consistent UI development requirements by taking advantage of built-in capabilities (Services/ API/ UI controls), tools and technologies. ONAP also provides a Command Line Interface (CLI) for operators who require it (e.g., to integrate with their scripting environment). ONAP SDKs enable operations/security, third parties (e.g., vendors and consultants), and other experts to continually define/redefine new collection, analytics, and policies (including recipes for corrective/remedial action) using the ONAP Design Framework Portal.
5. Design-time Framework¶
The design time framework is a comprehensive development environment with tools, techniques, and repositories for defining/describing resources, services, and products.
The design time framework facilitates reuse of models, further improving efficiency as more and more models become available. Resources, services and their management and control functions can all be modeled using a common set of specifications and policies (e.g., rule sets) for controlling behavior and process execution. Process specifications automatically sequence instantiation, delivery and lifecycle management for resources, services, products and the ONAP platform components themselves. Certain process specifications (i.e., ‘recipes’) and policies are geographically distributed to optimize performance and maximize autonomous behavior in federated cloud environments.
Service Design and Creation (SDC) provides tools, techniques, and repositories to define/simulate/certify system assets as well as their associated processes and policies. Each asset is categorized into one of two asset groups: Resource or Services. The SDC environment supports diverse users via common services and utilities. Using the design studio, product and service designers onboard/extend/retire resources and services. Operations, Engineers, Customer Experience Managers, and Security Experts create workflows, policies and methods to implement Closed control Loop Automation/Control and manage elastic scalability.
To support and encourage a healthy VNF ecosystem, ONAP provides a set of VNF packaging and validation tools in the VNF Supplier API and Software Development Kit (VNF SDK) and VNF Validation Program (VVP) components. Vendors can integrate these tools in their CI/CD environments to package VNFs and upload them to the validation engine. Once tested, the VNFs can be onboarded through SDC. In addition, the testing capability of VNFSDK is being utilized at the LFN Compliance Verification Program to work towards ensuring a highly consistent approach to VNF verification.
The Policy Creation component deals with policies; these are rules, conditions, requirements, constraints, attributes, or needs that must be provided, maintained, and/or enforced. At a lower level, Policy involves machine-readable rules enabling actions to be taken based on triggers or requests. Policies often consider specific conditions in effect (both in terms of triggering specific policies when conditions are met, and in selecting specific outcomes of the evaluated policies appropriate to the conditions).
Policy allows rapid modification through easily updating rules, thus updating technical behaviors of components in which those policies are used, without requiring rewrites of their software code. Policy permits simpler management / control of complex mechanisms via abstraction.
The Closed Loop Automation Management Platform (CLAMP) provides a platform for managing control loops. CLAMP is used to manage a closed control loop, configure it with specific parameters for a particular network service, then deploy and decommission it. Once deployed, a user can also update the loop with new parameters during runtime, as well as suspend and restart it.
6. Runtime Framework¶
The runtime execution framework executes the rules and policies distributed by the design and creation environment.
This allows for the distribution of policy enforcement and templates among various ONAP modules such as the Service Orchestrator (SO), Controllers, Data Collection, Analytics and Events (DCAE), Active and Available Inventory (A&AI), and a Security Framework. These components use common services that support logging, access control, Multi-Site State Coordination (MUSIC), which allow the platform to register and manage state across multi-site deployments. The External API provides access for third-party frameworks such as MEF, TM Forum and potentially others, to facilitate interactions between operator BSS and relevant ONAP components. The logging services also includes event based analysis capabilities to support post orchestration consistency analysis.
The Service Orchestrator (SO) component executes the specified processes by automating sequences of activities, tasks, rules and policies needed for on-demand creation, modification or removal of network, application or infrastructure services and resources. The SO provides orchestration at a very high level, with an end-to-end view of the infrastructure, network, and applications.
The External API Northbound Interface component provides a standards-based interface between the BSS and various ONAP components, including Service Orchestrator, A&AI, and SDC. This provides an abstracted view of the platform within the existing BSS/OSS environment without lengthy, high-cost infrastructure integration. The Beijing release was the first of a series of enhancements in support of SDO collaborations, which are expected to support inter-operator exchanges and other use cases defined by associated standards bodies such as MEF, TM Forum and others.
The Virtual Infrastructure Deployment (VID) application enables users to instantiate infrastructure services from SDC, along with their associated components, and to execute change management operations such as scaling and software upgrades to existing VNF instances.
Policy-Driven Workload Optimization¶
The ONAP Optimization Framework (OOF) provides a policy-driven and model-driven framework for creating optimization applications for a broad range of use cases. OOF Homing and Allocation Service (HAS) is a policy driven workload optimization service that enables optimized placement of services across multiple sites and multiple clouds, based on a wide variety of policy constraints including capacity, location, platform capabilities, and other service specific constraints.
ONAP Multi-VIM/Cloud (MC) and several other ONAP components such as Policy, SO, A&AI etc. play an important role in enabling “Policy-driven Performance/Security-Aware Adaptive Workload Placement/ Scheduling” across cloud sites through OOF-HAS. OOF-HAS uses Hardware Platform Awareness (HPA), cloud agnostic intent capabilities and real-time capacity checks provided by ONAP MC to determine the optimal VIM/Cloud instances, which can deliver the required performance SLAs, for workload (VNF etc.) placement and scheduling (Homing). Operators now realize the true value of virtualization through fine grained optimization of cloud resources while delivering performance and security SLAs. For the Beijing release, this feature was available for the vCPE use case.
Controllers are applications which are coupled with cloud and network services and execute the configuration, real-time policies, and control the state of distributed components and services. Rather than using a single monolithic control layer, operators may choose to use multiple distinct controller types that manage resources in the execution environment corresponding to their assigned controlled domain such as cloud computing resources (network configuration (SDN-C) and application (App-C). Also, the Virtual Function Controller (VF-C) provides an ETSI NFV compliant NFV-O function that is responsible for lifecycle management of virtual services and the associated physical COTS server infrastructure. VF-C provides a generic VNFM capability but also integrates with external VNFMs and VIMs as part of an NFV MANO stack.
The new Multisite State Coordination (MUSIC) project records and manages state of the Portal and ONAP Optimization Framework to ensure consistency, redundancy and high availability across geographically distributed ONAP deployments.
Active and Available Inventory (A&AI) provides real-time views of a system’s resources, services, products and their relationships with each other, and in Casablanca it also retains a historical view. The views provided by A&AI relate data managed by multiple ONAP instances, Business Support Systems (BSS), Operation Support Systems (OSS), and network applications to form a “top to bottom” view ranging from the products end users buy, to the resources that form the raw material for creating the products. A&AI not only forms a registry of products, services, and resources, it also maintains up-to-date views of the relationships between these inventory items.
To deliver the promised dynamism of SDN/NFV, A&AI is updated in real time by the controllers as they make changes in the network environment. A&AI is metadata-driven, allowing new inventory types to be added dynamically and quickly via SDC catalog definitions, eliminating the need for lengthy development cycles.
Multi Cloud Adaptation¶
Multi-VIM/Cloud provides and infrastructure adaptation layer for VIMs/Clouds in exposing advanced hardware platform awareness and cloud agnostic intent capabilities, besides standard capabilities, which are used by OOF and other components for enhanced cloud selection and SO/VF-C for cloud agnostic workload deployment. The cloud agnostic intent capabilities are newly introduced in the Casablanca release.
7. Closed Control Loop Automation¶
Closed loop control is provided by cooperation among a number of design time and runtime elements. The Runtime loop starts with Data Collection, Analytics and Events (DCAE) and then moves through the loop of micro-services like Holmes for event detection, Policy for determining actions, and finally controllers and orchestrators to implement actions CLAMP is used to monitor the loops themselves. CLAMP, Policy and DCAE all have design time aspects to support the creation of the loops.
We refer to this automation pattern as “closed control loop automation” in that it provides the necessary automation to proactively respond to network and service conditions without human intervention. A high-level schematic of the “closed control loop automation” and the various phases within the service lifecycle using the automation is depicted in Figure 3.
Closed control loop control is provided by Data Collection, Analytics and Events (DCAE) and one or more of the other ONAP runtime components. Collectively, they provide FCAPS (Fault Configuration Accounting Performance Security) functionality. DCAE collects performance, usage, and configuration data; provides computation of analytics; aids in troubleshooting; and publishes events, data and analytics (e.g., to policy, orchestration, and the data lake). Another component, “Holmes”, connects to DCAE and provides alarm correlation for ONAP. In the Casablanca Release, DCAE evolved to support new analytics capabilities with PNDA (http://pnda.io/) as well as new data collection capabilities with High Volume VES and bulk performance management support.
Working with the Policy Framework and CLAMP, these components detect problems in the network and identify the appropriate remediation. In some cases, the action will be automatic, and they will notify Service Orchestrator or one of the controllers to take action. In other cases, as configured by the operator, they will raise an alarm but require human intervention before executing the change. The policy framework is extended to support additional policy decision capabilities with the introduction of adaptive policy execution.
Figure 3: ONAP Closed Control Loop Automation
8. Common Services¶
ONAP provides common operational services for all ONAP components including activity logging, reporting, common data layer, access control, secret and credential management, resiliency, and software lifecycle management.
These services provide access management and security enforcement, data backup, restoration and recovery. They support standardized VNF interfaces and guidelines.
Operating in a virtualized environment introduces new security challenges and opportunities. ONAP provides increased security by embedding access controls in each ONAP platform component, augmented by analytics and policy components specifically designed for the detection and mitigation of security violations.
9. ONAP Modeling¶
ONAP provides models to assist with service design, the development of ONAP service components, and with the improvement of standards interoperability.
Models are essential part for the design time and runtime framework development. The ONAP modeling project leverages the experience of member companies, standard organizations and other open source projects to produce models which are simple, extensible, and reusable. The goal is to fulfill the requirements of various use cases, guide the development and bring consistency among ONAP components and explore a common model to improve the interoperability of ONAP.
In the Casablanca Release, ONAP supports the following Models:
- A VNF Descriptor Information Model based on ETSI NFV IFA011 v.2.4.1 with appropriate modifications aligned with ONAP requirements;
- A VNF Descriptor Model based on TOSCA implementation based on the IM and follow the same model definitions in ETSI NFV SOL001 v 0.6.0.
- VNF Package format leveraging the ETSI NFV SOL004 specification.
- A Network Service Descriptor (NSD) has been realized by the VFC (using the modelling project parsing capabilities).
These models enable ONAP to interoperate with implementations based on standards, and improve the industry collaboration.
10. ONAP Blueprints¶
ONAP can support an unlimited number of use cases. However, to provide concrete examples of how to use ONAP to solve real-world problems, the community has created a set of blueprints. In addition to helping users rapidly adopt the ONAP platform through end-to-end solutions, these blueprints also help the community prioritize their work. With the ONAP Casablanca release, we introduced two new blueprints: 5G and CCVPN. Prior blueprints, vCPE, VoLTE and vFW/vDNS have been ported to Casablanca as well.
The 5G blueprint is a multi-release effort, with Casablanca introducing first set of capabilities around PNF integration, edge automation, real-time analytics, network slicing, data modeling, homing, scaling, and network optimization. The combination of eMBB that promises peak data rates of 20 Mbps, uRLLC that guarantees sub millisecond response times and MMTC that can support 0.92 devices per sq. ft. brings with it some unique requirements. First, ONAP needs to support network services that include PNFs in addition to VNFs. Next ONAP needs to support edge cloud onboarding as network services will no longer be restricted to just large datacenters but will proliferate a large number of distributed edge locations. Finally, ONAP needs to collect real-time performance data for analytics and policy driven closed-loop automation. These requirements have led to several initiatives within ONAP to holistically address the 5G blueprint.
Figure 4. Disaggregated Hybrid RAN
Read the 5G Blueprint to learn more.
Virtual CPE Blueprint¶
This blueprint addresses a residential use case, where the services offered to a subscriber are currently restricted to what is designed into the broadband residential gateway. In this blueprint, the customer has a slimmed down physical CPE (pCPE), that only consists of bridging functionality, attached to a traditional broadband network such as DSL or DOCSIS (Figure 5). A tunnel is established to a data center hosting various VNFs providing a much larger set of services to the subscriber at a significantly lower cost to the operator. ONAP supports complex orchestration and management of both virtual and underlay connectivity with two key components–SDN-C, which manages connectivity service , and APP-C, which manages virtualization services. In this case, ONAP provides a common service orchestration layer for the end-to-end service. This blueprint shows advanced functionality such as scaling, change management , HPA and cloud agnostic intent.
Figure 5. ONAP vCPE Architecture
Read the Residential vCPE Use Case with ONAP blueprint to learn more.
Voice over LTE (VoLTE) Blueprint¶
This blueprint uses ONAP to orchestrate a Voice over LTE service. This blueprint demonstrates how a Mobile Service Provider (SP) could deploy VoLTE services based on SDN/NFV. The VoLTE blueprint incorporates commercial VNFs to create and manage the underlying vEPC and vIMS services by interworking with vendor-specific components, including VNFMs, EMSs, VIMs and SDN controllers, across Edge Data Centers and a Core Data Center. ONAP supports the VoLTE use case with several key components: SO, VF-C, SDN-C, and Multi-VIM/ Cloud. In this blueprint, SO is responsible for VoLTE end-to-end service orchestration working in collaboration with VF-C and SDN-C. SDN-C establishes network connectivity, then the VF-C component completes the Network Services and VNF lifecycle management (including service initiation, termination and manual scaling) and FCAPS (fault, configuration, accounting, performance, security) management. This blueprint also shows advanced functionality such as scaling and change management.
Figure 6. ONAP VoLTE Architecture Open Network Automation Platform
Read the VoLTE with ONAP blueprint to learn more.
CCVPN (Cross Domain and Cross Layer VPN) Blueprint¶
CSPs, such as CMCC and Vodafone, see a strong demand for high-bandwidth, flat, high-speed OTN (Optical Transport Networks) across carrier networks. They also want to provide a high-speed, flexible and intelligent service for high-value customers, and an instant and flexible VPN service for SMB companies.
Figure 7. ONAP CCVPN Architecture
The CCVPN (Cross Domain and Cross Layer VPN) blueprint is a combination of SOTN (Super high-speed Optical Transport Network) and ONAP, which takes advantage of the orchestration ability of ONAP, to realize a unified management and scheduling of resource and services. It achieves cross-domain orchestration and ONAP peering across service providers. ONAP supports the CCVPN use case with several key components: SO, VF-C, SDN-C, Policy, Holmes and DCAE. In this blueprint, SO is responsible for CCVPN end-to-end service orchestration working in collaboration with VF-C and SDN-C. SDN-C establishes network connectivity, then the VF-C component completes the Network Services and VNF lifecycle management. ONAP peering across CSPs uses east-west API which is being aligned with the MEF Interlude API. The key innovations in this use case are physical network discovery and modeling, cross-domain orchestration across multiple physical networks, cross operator end-to-end service provisioning and close-loop reroute for cross-domain service.
Read the CCVPN with ONAP blueprint to learn more.
The virtual firewall, virtual DNS blueprint is a basic demo to verify that ONAP has been correctly installed and to get a basic introduction to ONAP. The blueprint consists of 5 VNFs: vFW, vPacketGenerator, vDataSink, vDNS and vLoadBalancer. The blueprint exercises most aspects of ONAP, showing VNF onboarding, network service creation, service deployment and closed-loop automation. The key components involved are SDC, CLAMP, SO, APP-C, DCAE and Policy.
Read the vFW/vDNS with ONAP blueprint to learn more.
BBS (Broadband Service) Blueprint¶
The Broadband Service blueprint uses ONAP for the design, provisioning, life-cycle management and assurance of fixed broadband access services. In a first step, BBS blueprint works with multi-Gigabit Internet Connectivity services based on PON (Passive Optical Network access technology, and relies on the orchestration and automation capabilities provided by the ONAP platform to support new scenarios, such as the Nomadic ONT (see Figure 8).
Figure 8. ONAP BBS Nomadic ONT Architecture
This blueprint shows the extensibility of the ONAP platform in supporting the orchestration of services across different location (e.g., Central Office, Core) and technology domains (e.g., Access, Edge).
In a joint collaboration with BBF (Broadband Forum) members, BBS implements and tests some of the specifications defined in the architectural framework of CloudCO (Cloud Central Office), Technical Report TR-384, among others. CloudCO aims at re-architecting the broadband network using SDN and NFV technologies and a cloud-like infrastructure deployed at Central Offices.
The definition of External API capabilities supporting this use case also relies on TM Forum OpenAPIs and MEF LSO.
BBS uses the following ONAP key components: ExternalAPI, SDC, SO, SDN-C, APEX policy engine and DCAE.