Previously I introduced the concepts of the Virtualisation Plane in AutoI which describes the virtual network resources. Above this plane, you will find the Management Plane, a self-managed management resource overlay based on the system’s business goals. The management system, or Autonomic Management System (AMS) incorporates both a Management Plane and a Knowledge Plane. An AMS is responsible for managing all the Virtual Resources within its own domain.
An AMS collects monitoring information from the virtual devices and services that it is managing making necessary decisions for the resources and services that it governs, either by itself or in collaboration with other AMSs. Therefore an AMS can act as independent entity responsible for managing its own resources and management services, capable of adapting automatically to changing network conditions and send status messages to other AMSs that it federates with. This is achieved by an autonomic control loop that support the basic operations of information collection, information analysis, decision-making and decision enforcement. The AMS is a policy-based AMS where control decisions are based on policies where control decisions are made based on desired versus current states of managed resources. As an AMS is expected to federate with peer AMSs in addition to being orchestrated by the Orchestration Plane therefore reasoning and learning processes must take into consideration historical data, experiences and inferred
information so that policies can be adapted according to this learning when necessary.
This briefly summarises the research carried out in the first year of the project. More information about the Management Plane can be found in D4.1 Management and Knowledge Planes Functions and Initial Design: Initial Policy-based System.
Next I will take a closer look at the Knowledge Plane.