| .. 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 |
| ============ |
| ONAP is a comprehensive platform for orchestration, management, and automation |
| of network and edge computing services for network operators, cloud providers, |
| and enterprises. Real-time, policy-driven orchestration and automation of |
| physical, virtual, and cloud native network functions enables rapid automation |
| of new services and complete lifecycle management critical for 5G and |
| next-generation networks. |
| |
| 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). |
| |
| ONAP is addressing these challenges by developing global and massive scale |
| (multi-site and multi-VIM) automation capabilities for physical, virtual, and |
| cloud native 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). The Service Design & Creation |
| (SDC) project also offers seamless orchestration of CNFs. 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 |
| - Scalability 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. |
| |
| Architecture Overview |
| ===================== |
| |
| The ONAP architecture consists of a design time and run time functions, as well |
| as functions for managing ONAP itself. |
| |
| Note: Use the interactive features of the below ONAP Architecture Overview. |
| Hover with your mouse over an element in the figure for a short description. |
| Click the element to get forwarded to a more detailed description. |
| |
| .. raw:: html |
| :file: media/onap-architecture-overview-interactive-path.svg |
| |
| **Figure 1: Interactive high-level view of the ONAP architecture with its |
| microservices-based platform components.** |
| |
| The figure below provides a simplified functional view of the architecture, |
| which highlights the role of a few key components: |
| |
| #. ONAP Design time environment provides onboarding services and resources |
| into ONAP and designing required services. |
| #. External API provides northbound interoperability for the ONAP Platform. |
| #. ONAP Runtime environment provides a model- and policy-driven orchestration |
| and control framework for an automated instantiation and configuration of |
| services and resources. Multi-VIM/Cloud provides cloud interoperability for |
| the ONAP workloads. Analytic framework that closely monitors the service |
| behavior handles close loop management for handling healing, scaling and |
| update dynamically. |
| #. 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. 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. 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, ETSI/3GPP, O-RAN, 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 a shared database has 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 support 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 supports the onboarding of Network |
| Services packages (ETSI SOL 0007 ), CNF packages (Helm), VNF packages (Heat or |
| ETSI SOL004) and PNF packages (ETSI SOL004). SDC also includes some |
| capabilities to model 5G network slicing using the standard properties (Slice |
| Profile, Service Template). |
| |
| 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 access control. |
| |
| 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. Examples of this include |
| BroadBand Service (BBS) and 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. |
| |
| The Controller Design Studio (CDS) community in ONAP has contributed a |
| framework to automate the resolution of resources for instantiation and any |
| config provisioning operation, such as day0, day1 or day2 configuration. The |
| essential function of CDS is to create and populate a controller blueprint, |
| create a configuration file from this Controller blueprint, and associate at |
| design time this configuration file (configlet) to a PNF/VNF/CNF during the |
| design phase. CDS removes dependence on code releases and the delays they cause |
| and puts the control of services into the hands of the service providers. Users |
| can change a model and its parameters with great flexibility to fetch data from |
| external systems (e.g. IPAM) that is required in real deployments. This makes |
| service providers more responsive to their customers and able to deliver |
| products that more closely match the needs of those customers. |
| |
| 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 |
| and K8s clusters 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 K8s plugin is in charge to deploy the CNF on |
| the Kubernetes clusters using Kubernetes API. |
| |
| 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 (VNF Event Streaming) 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 |
| includes a number of specialized micro-services to support some use-cases such |
| as the Slice Analysis or SON-Handler. Some dedicated event processor modules |
| transform collected data (SNMP, 3GPP XML, RESTCONF) to VES format and push the |
| various data onto data lake. 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). |
| 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, configuration, persistence, |
| access control, secret and credential management, resiliency, and software |
| lifecycle management. |
| |
| These services provide access management and security enforcement, data backup, |
| configuration persistence, 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. |
| |
| Configuration Persistence Service (CPS) |
| --------------------------------------- |
| The Configuration Persistence Service (CPS) provides storage for real-time |
| run-time configuration and operational parameters that need to be used by ONAP. |
| In R8, Honolulu, the CPS is a stand-alone component, and its details in |
| :ref:`CPS - Configuration Persistence Service<onap-cps:architecture>`. |
| |
| 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 <https://www.onap.org/wp-content/uploads/sites/20/2019/04/ONAP_HarmonizingOpenSourceStandards_032719.pdf>`_ |
| |
| 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. |
| |
| 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). |
| |
| 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. Use case examples are |
| listed below. See detailed information on use cases, functional requirements, |
| and automated use cases can be found here: |
| :ref:`Verified Use Cases<onap-integration:docs_usecases_release>`. |
| |
| - E2E Network Slicing |
| - 5G OOF (ONAP Optimization Framework) SON (Self-Organized Network) |
| - CCVPN-Transport Slicing |
| - MDONS (Multi-Domain Optical Network Service) |
| |
| Functional requirements |
| ----------------------- |
| Various functional requirements have been tested for the Release. Detailed |
| information can be found in the |
| :ref:`Verified Use Cases<onap-integration:docs_usecases_release>`. |
| |
| - xNF Integration |
| |
| - ONAP CNF orchestration - Enhancements |
| - PNF PreOnboarding |
| - PNF Plug & Play |
| |
| - Lifecycle Management |
| |
| - Policy Based Filtering |
| - Bulk PM / PM Data Control Extension |
| - Support xNF Software Upgrade in association to schema updates |
| - Configuration & Persistency Service |
| |
| - Security |
| |
| - CMPv2 Enhancements |
| |
| - Standard alignment |
| |
| - ETSI-Alignment for Guilin |
| - ONAP/3GPP & O-RAN Alignment-Standards Defined Notifications over VES |
| - Extend ORAN A1 Adapter and add A1 Policy Management |
| |
| - NFV testing Automatic Platform |
| |
| - Support for Test Result Auto Analysis & Certification |
| - Support for Test Task Auto Execution |
| - Support for Test Environment Auto Deploy |
| - Support for Test Topology Auto Design |
| |
| 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 |