OSS Deployment Architecture
While we acknowledge the broad industry definition of what constitutes OSS, the proposed
OSS architecture framework focuses on the most critical modules commonly observed in OSS
deployments, and their deployment architecture on AWS. The following reference architecture
illustrates the deployment strategy of OSS modules on AWS Regions
![Diagram showing OSS Deployment Architecture on AWS](/images/whitepapers/latest/next-generation-oss/images/oss-deployment-architecture.png)
OSS Deployment Architecture on AWS
With the exception of Edge analytics and a few Domain Manager functions, the majority of
OSS functions can be deployed in centralized AWS Cloud regions given these OSS workloads do
not directly participate in network data-lane or network control plane. The ability to deploy
in a region means these workloads can be deployed across multi-Availability Zones
As illustrated in the previous reference architecture, the proposed OSS deployment on AWS enables a Data Unification layer between OSS, BSS, Software as a Service (SaaS) platforms, and NFx. By leveraging Data Lake and Lake House concepts, DSPs have the ability to optimize data flows between applications, and limit traditional data duplication.
A cloud-centric model also represents a clear opportunity to implement a shared services
model, in which multiple OSS modules (potentially managed by different teams or even supplied
by different ISV partners) can be deployed into a consistent, centralized, managed cloud
environment (an experience that is enabled by AWS Organizations
Our proposed OSS deployment on AWS allows you to place workloads closer to the network when needed. As such, edge analytics capabilities (such as what’s prescribed by Open Radio Access Network (ORAN) RAN Intelligent Controller (RIC)) can be collocated with network functions, enabling near real-time application.
The following sub-sections outline the foundational concepts to build an OSS architecture on AWS for domain management, service assurance, service fulfillment, service orchestration, network analytics, and edge analytics.