Intern
    Lehrstuhl für Informatik III

    AutoMon


    AutoMon Project Team

    Head Kurt Tutschku (Contact)
    Markus Fiedler (Blekinge Institute of Technology)
    Stefan Köhler, Infosim
    Researchers Andreas Binzenhöfer
    Björn auf dem Graben
    Stefan Chevul
    Matthias Schmid

    Latest News

    • Added Slides of two talks about the project at 27.01.06
    • Paper list updated on 22.12.05 with papers accepted for publication in the Proceeding of the EuroNGI Integration Workshop IA.8.2 on New Service Architectures (published as a volume of Lecture Nodes on Computer Science, pdfs will be available soon)

    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.

    Report

    • Chevul, S., Binzenhöfer, A., Schmid, M., Tutschku, K., Fiedler, M.: A Self-Organizing Concept for Distributed End-to-End Quality Monitoring. University of Wuerzburg (2006).
       
    • Radtke, O., Chevul, S., Binzenhöfer, A., Tutschku, K., Fiedler, M.: The Network Utility Function: A Practicable Concept for Assessing Network Impact on Distributed Services. University of Wuerzburg (2005).
       
    • Binzenhöfer, A., Tutschku, K., auf dem Graben, B., Fiedler, M., Carlsson, P.: A P2P-based Framework for Distributed Network Management. University of Wuerzburg (2005).
       
    • Fiedler, M., Tutschku, K., Chevul, S., Isaksson, L., Binzenhöfer, A.: The Throughput Utility Function: Assessing Network Impact on Mobile Services. University of Wuerzburg (2005).
       
    • Hoßfeld, T., Binzenhöfer, A., Fiedler, M., Tutschku, K.: Measurement and Analysis of Skype VoIP Traffic in 3G UMTS Systems. University of Wuerzburg (2005).
       
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