| .. This work is licensed under a Creative Commons Attribution |
| .. 4.0 International License. |
| .. http://creativecommons.org/licenses/by/4.0 |
| .. Copyright 2017-2018 Huawei Technologies Co., Ltd. |
| .. Copyright 2019 ONAP Contributors |
| |
| .. _ONAP-architecture: |
| |
| Introduction |
| ============ |
| |
| 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. |
| |
| The challenge that ONAP meets is to help operators of telecommunication |
| networks 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 to 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 fourth 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, as well as legacy equipment (PNF). ONAP’s consolidated xNF |
| requirements publication enables commercial development of ONAP-compliant xNFs. |
| 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. All this is achieved 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 |
| rapid and dynamic way, together with supporting a closed control loop process |
| that supports 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 the 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 an 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 supporting |
| 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 service/resource 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 a 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 |
| |
| Further, ONAP comes with a functional architecture with component definitions |
| and interfaces, which provides a force of industry alignment in addition to |
| the open source code. |
| |
| ONAP Architecture |
| ================= |
| |
| The ONAP architecture consists of a design time and run time functions, as well |
| as functions for managing ONAP itself. |
| |
| **Figure 1 provides a high-level view of the ONAP architecture with its |
| microservices-based platform components.** |
| |
| |image1| |
| |
| |
| 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 Shared Services provides shared capabilities for ONAP modules. 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. Logging provides centralized logging capabilities, Audit |
| (POMBA) provides capabilities to understand orchestration actions. |
| #. ONAP shared utilities provide utilities for the support of the ONAP |
| components. |
| #. 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. |
| |
| |image2| |
| |
| **Figure 2. Functional view of the ONAP architecture** |
| |
| 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 |
| following best practice building rules to optimize their image size. To reduce |
| the ONAP footprint, a first effort to use shared data base have been initiated |
| with a Cassandra and mariadb-galera clusters. |
| |
| 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. 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. |
| |
| In the spirit of leveraging the microservice capabilities, further steps |
| towards increased modularity have been taken. Service |
| Orchestrator (SO) and the controllers have increased its level of modularity. |
| |
| Portal |
| ====== |
| 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 (AAF), 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. |
| |
| 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, |
| products, 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 four asset groups: |
| Resource, Services, Products, or Offers. SDC also supports TOSCA1.3 List type |
| definition which provides the ability to design complicated |
| service descriptor. |
| |
| The SDC environment supports diverse users via common services and utilities. |
| Using the design studio, product and service designers onboard/extend/retire |
| resources, services and products. 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. |
| |
| Runtime Framework |
| ================= |
| The runtime execution framework executes the rules and policies and other |
| models distributed by the design and creation environment. |
| |
| This allows for the distribution of models and policy among |
| various ONAP modules such as the Service Orchestrator (SO), Controllers, |
| Data Collection, Analytics and Events (DCAE), Active and Available Inventory |
| (A&AI). 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. |
| |
| Orchestration |
| ------------- |
| 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, this includes VNFs, CNFs and PNFs. |
| The SO provides orchestration at a very high level, with an end-to-end view of |
| the infrastructure, network, and applications. |
| |
| One is BroadBand Service (BBS), the second one is Cross Domain and Cross Layer |
| VPN (CCVPN). |
| |
| Virtual Infrastructure Deployment (VID) |
| --------------------------------------- |
| 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. |
| |
| Controllers |
| ----------- |
| 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). The App-C and SDN-C also support |
| 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. |
| |
| Inventory |
| --------- |
| Active and Available Inventory (A&AI) provides real-time views of a system’s |
| resources, services, products and their relationships with each other, and 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. |
| |
| Policy Framework |
| ---------------- |
| The Policy framework provides policy based decision making capability and |
| supports multiple policy engines and can distribute policies through policy |
| design capabilities in SDC, simplifying the design process. |
| |
| 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. |
| |
| Closed Control Loop Automation |
| ============================== |
| Closed loop control is provided by cooperation among a number of design-time |
| and run-time elements. The Runtime loop starts with data collectors from Data |
| Collection, Analytics and Events (DCAE). ONAP includes the following |
| collectors: VES for events, HV-VES for high-volume events, SNMP for SNMP traps, |
| File Collector to receive files, and Restconf Collector to collect the |
| notifications. After data collection/verification phase, data are moved through |
| the loop of micro-services like Homes for event detection, Policy for |
| determining actions, and finally, controllers and orchestrators to implement |
| actions CLAMP is used to monitor the loops themselves. DCAE also supports |
| (Platform for Network Data Analytics) PNDA analytics capabilities. 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, 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. |
| |
| |image3| |
| |
| **Figure 3: ONAP Closed Control Loop Automation** |
| |
| Shared Services |
| =============== |
| ONAP provides a set of 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. |
| |
| 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 an 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. |
| |
| ONAP supports various models detailed in |
| :ref:`Modeling Documentation<onap-modeling-modelspec:master_index>`. |
| |
| The modeling project includes the ETSI catalog component, which provides the |
| parser functionalities, as well as additional package management |
| functionalities. |
| |
| |
| Industry Alignment |
| ================== |
| ONAP support and collaboration with other standards and open source communities |
| is evident in the architecture. |
| |
| - MEF and TMF interfaces are used in the External APIs |
| - In addition to the ETSI-NFV defined VNFD and NSD models mentioned above, ONAP |
| supports the NFVO interfaces (SOL005 between the SO and VFC, SOL003 from |
| either the SO or VFC to an external VNFM). |
| - Further collaboration includes 5G/ORAN & 3GPP Harmonization, Acumos DCAE |
| Integration, and CNCF Telecom User Group (TUG). |
| |
| Read this whitepaper for more information: The Progress of ONAP: Harmonizing |
| Open Source and Standards. |
| |
| ONAP Blueprints |
| =============== |
| ONAP can support an unlimited number of use cases, within reason. 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 Frankfurt release, |
| we introduced a new blueprint in the area of optical transport networking |
| called Multi-Domain Optical Network Service (MDONS). Prior blueprints were |
| vCPE, VoLTE, vFW/vDNS, 5G, and CCVPN. 5G and CCVPN underwent feature |
| enhancements during the Frankfurt release. |
| |
| 5G Blueprint |
| ------------ |
| The 5G blueprint is a multi-release effort, with five key initiatives around |
| end-to-end service orchestration, network slicing, PNF/VNF lifecycle management |
| , PNF integration, and network optimization. The combination of eMBB that |
| promises peak data rates of 20 Mbps, uRLLC that guarantees sub-millisecond |
| response times, MMTC that can support 0.92 devices per sq. ft., and network |
| slicing brings with it some unique requirements. First ONAP needs to manage the |
| lifecycle of a network slice from initial creation/activation all the way to |
| deactivation/termination. Next, ONAP needs to optimize the network around real |
| time and bulk analytics, place VNFs on the correct edge cloud, scale and heal |
| services, and provide edge automation. ONAP also provides self organizing |
| network (SON) services such as physical cell ID allocation for new RAN sites. |
| These requirements have led to the five above-listed initiatives and have been |
| developed in close cooperation with other standards and open source |
| organizations such as 3GPP, TM Forum, ETSI, and O-RAN Software Community. |
| |
| |image4| |
| |
| **Figure 4. End-to-end 5G Service** |
| |
| Read the `5G Blueprint <https://www.onap.org/wp-content/uploads/sites/20/2019/07/ONAP_CaseSolution_5G_062519.pdf>`_ |
| to learn more. |
| |
| Residential Connectivity Blueprints |
| ----------------------------------- |
| Two ONAP blueprints (vCPE and BBS) address the residential connectivity use |
| case. |
| |
| Virtual CPE (vCPE) |
| .................. |
| Currently, services offered to a subscriber are restricted to what is |
| designed into the broadband residential gateway. In the blueprint, the customer |
| has a slimmed down physical CPE (pCPE) attached to a traditional broadband |
| network such as DSL, DOCSIS, or PON (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. In this blueprint, |
| ONAP supports complex orchestration and management of open source VNFs and both |
| virtual and underlay connectivity. |
| |
| |image5| |
| |
| **Figure 5. ONAP vCPE Architecture** |
| |
| Read the `Residential vCPE Use Case with ONAP blueprint <https://www.onap.org/wp-content/uploads/sites/20/2018/11/ONAP_CaseSolution_vCPE_112918FNL.pdf>`_ |
| to learn more. |
| |
| Broadband Service (BBS) |
| ....................... |
| This blueprint provides multi-gigabit residential |
| internet connectivity services based on PON (Passive Optical Network) access |
| technology. A key element of this blueprint is to show automatic |
| re-registration of an ONT (Optical Network Terminal) once the subscriber moves |
| (nomadic ONT) as well as service subscription plan changes. This blueprint uses |
| ONAP for the design, deployment, lifecycle management, and service assurance of |
| broadband services. It further shows how ONAP can orchestrate services across |
| different locations (e.g. Central Office, Core) and technology domains (e.g. |
| Access, Edge). |
| |
| |image6| |
| |
| **Figure 6. ONAP BBS Architecture** |
| |
| Read the `Residential Connectivity Blueprint <https://www.onap.org/wp-content/uploads/sites/20/2019/07/ONAP_CaseSolution_BBS_062519.pdf>`_ |
| to learn more. |
| |
| Voice over LTE (VoLTE) Blueprint |
| -------------------------------- |
| This blueprint uses ONAP to orchestrate a Voice over LTE service. 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. |
| |
| |image7| |
| |
| **Figure 7. ONAP VoLTE Architecture Open Network Automation Platform** |
| |
| Read the `VoLTE Blueprint <https://www.onap.org/wp-content/uploads/sites/20/2018/11/ONAP_CaseSolution_VoLTE_112918FNL.pdf>`_ |
| to learn more. |
| |
| |
| Optical Transport Networking (OTN) |
| ---------------------------------- |
| Two ONAP blueprints (CCVPN and MDONS) address the OTN use case. CCVPN addresses |
| Layers 2 and 3, while MDONS addresses Layers 0 and 1. |
| |
| 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. |
| |
| |image8| |
| |
| **Figure 8. 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 resources and services. It achieves cross-domain orchestration |
| and ONAP peering across service providers. 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 an 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, close-loop reroute for |
| cross-domain service, dynamic changes (branch sites, VNFs) and intelligent |
| service optimization (including AI/ML). The Frankfurt release adds support for |
| end-to-end E-LINE services over optical transport network (OTN) |
| network-to-network interface (NNI). |
| |
| Read the `CCVPN Blueprint <https://www.onap.org/wp-content/uploads/sites/20/2019/07/ONAP_CaseSolution_CCVPN_062519.pdf>`_ |
| to learn more. |
| |
| MDONS (Multi-Domain Optical Network Service) Blueprint |
| ------------------------------------------------------ |
| While CCVPN addresses the automation of networking layers 2 and 3, it does not |
| address layers 0 and 1. Automating these layers is equally important because |
| providing an end-to-end service to their customers often requires a manual and |
| complex negotiation between CSPs that includes both the business arrangement |
| and the actual service design and activation. CSPs may also be structured such |
| that they operate multiple networks independently and require similar |
| transactions among their own networks and business units in order to provide an |
| end-to-end service. The MDONS blueprint created by AT&T, Orange, and Fujitsu |
| solves the above problem. MDONS and CCVPN used together can solve the OTN |
| automation problem in a comprehensive manner. |
| |
| |image9| |
| |
| **Figure 9. ONAP MDONS Architecture** |
| |
| vFW/vDNS Blueprint |
| ------------------ |
| 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. In the recent releases, the vFW blueprint has been demonstrated by |
| using a mix of a CNF and VNF and entirely using CNFs. |
| |
| Verified end to end tests |
| ========================= |
| Use cases |
| --------- |
| Various use cases have been tested for the Release. Detailed information can |
| be found in :ref:`Verified Use Cases<onap-integration:docs_usecases>`. |
| |
| - vFirewall with closed loop |
| - vFirewall/vDNS with HPA |
| - vFirewall In-Place Software Upgrade with Traffic Distribution |
| - vFirewall CNF With CDS |
| - Scale Out |
| - CCVPN-E LINE over OTN NNI |
| - CCVPN - MDONS |
| - BBS (Broadband Service) |
| - vFirewall CNF with multicloud k8s plugin |
| - EdgeXFoundry CNF with multicloud k8s plugin |
| - vCPE with Tosca |
| - E2E Automation vLB with CDS |
| |
| Functional requirements |
| ----------------------- |
| Various functional requirements have been tested for the Release. Detailed |
| information can be found in |
| :ref:`Verified Use Cases<onap-integration:docs_usecases>`. |
| |
| - PNF Software Upgrade using direct Netconf Yang interface with PNF |
| - PNF Software Upgrade with EM with Ansible |
| - PNF Software Upgrade with EM with Netconf |
| - VSP Compliance and Validation Check within SDC |
| - Enable PNF software version at onboarding |
| - xNF communication security enhancements |
| - ETSI Alignment SO plugin to support SOL003 to connect to an external VNFM |
| - Integration of CDS as an Actor |
| - 3rd Party Operational Domain Manager |
| - Configuration & persistency |
| - 5G functional requirements |
| |
| - 5G Realtime PM and High Volume Stream Data Collection |
| - 5G PNF Plug and Play |
| - 5G Bulk PM |
| - 5G OOF and PCI |
| - 5G NRM Network Resource Model (Configuration management) |
| - 5G NETCONF configuration |
| - 5G PNF Pre-Onboarding & Onboarding |
| - 5G OOF SON |
| - 5G E2E Network Slicing |
| - 5G ORAN A1 Adapter (SDNR) |
| |
| Conclusion |
| ========== |
| The ONAP platform provides a comprehensive platform for real-time, |
| policy-driven orchestration and automation of physical and virtual network |
| functions that will enable software, network, IT and cloud providers and |
| developers to rapidly automate new services and support complete lifecycle |
| management. |
| |
| By unifying member resources, ONAP will accelerate the development of a vibrant |
| ecosystem around a globally shared architecture and implementation for network |
| automation—with an open standards focus— faster than any one product could on |
| its own. |
| |
| Resources |
| ========= |
| See the Resources page on `ONAP.org <https://www.onap.org/resources>`_ |
| |
| .. |image1| image:: media/ONAP-architecture.png |
| :width: 800px |
| .. |image2| image:: media/ONAP-fncview.png |
| :width: 800px |
| .. |image3| image:: media/ONAP-closedloop.png |
| :width: 800px |
| .. |image4| image:: media/ONAP-5G.png |
| :width: 800px |
| .. |image5| image:: media/ONAP-vcpe.png |
| :width: 800px |
| .. |image6| image:: media/ONAP-bbs.png |
| :width: 800px |
| .. |image7| image:: media/ONAP-volte.png |
| :width: 800px |
| .. |image8| image:: media/ONAP-ccvpn.png |
| :width: 800px |
| .. |image9| image:: media/ONAP-mdons.png |
| :width: 800px |