The Configuration Persistence Service (CPS) is a platform component that is designed to serve as a data repository for runtime data that needs persistence.
Types of data that is stored:
These are configuration parameters that are used by xNFs during installation & commissioning. Configuration parameters are typically used before the xNF has been brought up or is operational. For example, a 5G Network configuration parameter for a PNFs that sets the mechanical tilt which is a configuration setting upon installation.
This operational information could be either an actual state or configuration of a network service or device. These are parameters that are derived, discovered, computed that are used by xNFs during run time AFTER the xNF becomes operational i.e. AFTER it has “booted up”, been installed or configured. For example, in 5G Network, 5G PNFs may need to adjust a tower electrical antenna tilt. These operational parameters are Exo-inventory information, meaning it is information that doesn’t belong in A&AI. In principle, some parameters might be both configuration and operational parameters depending on how they are used.
This is the component of CPS which encompasses the generic storage of Yang module data.
The Network Configuration Management Proxy (NCMP) provides access to network configuration data and is a part of CPS-Core. NCMP accesses all network Data-Model-Inventory (DMI) information via NCMP-DMI-Plugins. The ONAP0-DMI-Plugin described in the next section is one such plugin.
Note: This documentation will often refer to “CPS-NCMP” which is the component (container image) that contains both CPS-Core and NCMP since NCMP is not a stand-alone component even though CPS-Core could be deployed without the NCMP extension.
The Data-Model-Inventory (DMI) Plugin is a rest interface used to synchronize CM-Handles data between CPS and DMI through the DMI-Plugin. This is built previously from the CPS-NF-Proxy component.
This service is responsible to provide a time oriented perspective for operational network data. It provides features to store and retrieve sequences of configurations or states along with the associated times when they occurred or have been observed.
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