| .. 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. |
| |
| 1. 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. |
| |
| 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. |
| |
| |image1| |
| |
| **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: |
| |
| 1. Design time environment for onboarding services and resources into ONAP and |
| designing required services. |
| 2. External API provides northbound interoperability for the ONAP Platform and |
| Multi-VIM/Cloud provides cloud interoperability for the ONAP workloads. |
| 3. OOM provides the ability to manage cloud-native installation and deployments |
| to Kubernetes-managed cloud environments. |
| 4. 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. |
| 5. 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** |
| |
| 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: |
| |
| 1. Deployment - with built-in component dependency management (including |
| multiple clusters, federated deployments across sites, and anti-affinity |
| rules) |
| 2. Configuration - unified configuration across all ONAP components |
| 3. Monitoring - real-time health monitoring feeding to a Consul GUI and |
| Kubernetes |
| 4. Restart - failed ONAP components are restarted automatically |
| 5. Clustering and Scaling - cluster ONAP services to enable seamless scaling |
| 6. Upgrade - change out containers or configuration with little or no service |
| impact |
| 7. 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. |
| |
| 4. 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, 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. |
| |
| 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. 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 |
| ----------- |
| |
| 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. |
| |
| 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 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 Homes |
| 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. |
| |
| |image3| |
| |
| **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. |
| |
| 5G Blueprint |
| ------------ |
| 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. |
| |
| |image4| |
| |
| **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. |
| |
| |image5| |
| |
| **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. |
| |
| |image6| |
| |
| **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. |
| |
| |image7| |
| |
| **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. |
| |
| 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. |
| |
| Read the vFW/vDNS with ONAP blueprint to learn more. |
| |
| 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 |
| ========= |
| Watch videos about the major platform components on YouTube and Youku |
| Read about how ONAP can be deployed using containers |
| |
| .. |image1| image:: media/ONAP-toplevel.png |
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| .. |image2| image:: media/ONAP-fncview.png |
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| .. |image3| image:: media/ONAP-closedloop.png |
| :width: 6in |
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| .. |image4| image:: media/ONAP-5G.png |
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| .. |image5| image:: media/ONAP-vcpe.png |
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| .. |image6| image:: media/ONAP-volte.png |
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| .. |image7| image:: media/ONAP-ccvpn.png |
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| :height: 3.02431in |