A semantic monitoring and management framework for end-to-end services

Modern distributed applications and communication services have become increasingly complex, composed of diverse heterogeneous sub-systems, and it is progressively more unrealistic that the users of these systems will be able to manage them in a holistic end-to-end manner. In particular, it is increasingly difficult to understand how such systems operate, the meaning of errors, and how they can be manipulated in a managed way, cognisant of the end-to-end nature of these systems. This paper describes an approach to semantically enrich monitoring information, events and faults, and management actions in such a way that they can be presented to a manager in manner that can be understood and leveraged. This work is based on one of the key scenarios FAME research project.