AutoMon (funded by Eurongi)

AutoMon

Research Project financed by	Project Team
	Heads	Kurt Tutschku, Markus Fiedler (Blekinge Institute of Technology), Stefan Köhler (Infosim),
	Researchers	Andreas Binzenhöfer, Björn auf dem Graben, Stefan Chevul, Matthias Schmid

Summary

In order to facilitate a cost-efficient operation of QoS-providing IP networks, the future QoS control mechanisms have to be realized in a more autonomous way than today. The concept of Autonomic Computing (AC) has recently gained tremendous attention in the industry. Autonomic Computing is an approach towards self-managed computing systems with a minimum of human interference. AC comprises four functional domains: self-configuration, self-optimization, self-healing, and self-protection. In this project we take the self-optimizing concept of AC and extend it to the idea of autonomic QoS monitoring in IP net-works. The goal is to have a self-organizing management overlay of Distributed Network Agents (DNAs) for distributed service surveillance.

The main objectives are:

1. Specification of a distributed, self-organizing and autonomic IP QoS monitoring framework which is based on Distributed Hash Tables. The specification includes a QoS feed-back interface for service providers.
   
   
2. Evaluation of the performance of the peer-to-peer mechanisms for maintaining the monitoring overlay. The mechanism has to be investigated with respect to its scalability and reliability under stochastic conditions, i.e. with regard to the non-deterministic behaviour of the transport network and the end users.
   
   
3. Analysis of applicability and accuracy of generic end-to-end performance metrics with regard to user-perceived Quality of Service.
   
   
4. Implementation of a concept demonstrator by the participating SME which uses the .net environment in order to show the commercial viability of the approach.