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Department of Computer Science 7

QoS Group
Dept. of Computer Science  >  CS 7  >  Research  >  QoS Group
Quality-of-Service
Coordination: Dr.-Ing. K. Hielscher

 

 

Methods for the measurement, simulation, and analysis are developed and investigated in experimental network scenarios. A GPS-based measurement infrastructure has been developed for highly precise and high-volume measurements. Simulation models are built either with commercial UML tools or with WinPEPSY, a tool allowing for queuing network models. Special emphasis is given on innovative analysis methods for models with a large state space and with general distributions (non-Markovian models), analysis of large queuing networks by traffic-based decomposition and matrix-analytic techniques, as well as deterministic analysis based on network calculus (for providing QoS guarantees). Research issues include:

  • GPS-based measurement infrastructure for a Web cluster
  • online and offline clock synchronization
  • UML simulation models
  • analysis of queuing networks by traffic-based decomposition and matrix-analytic methods
  • correlated input modeling by Markovian arrival processes
  • WinPEPSY: a modeling tool based on queuing networks
  • analysis of large non-Markovian models by iterative rate adjustments
  • network calculus and optimization
  • performance impact factors in WLANs
  • QoS of mechanisms for distributing traffic control messages

 

People

 

Events

  • Int. Conf. on Quantitative Evaluation of SysTems (QEST 2007)
  • Int. Conf. on Analytical and Stochastic Modelling Techniques and Applications (ASMTA 2007)
  • GI/ITG Fachtagung Messung, Modellierung und Bewertung von Rechen- und Kommunikationssystemen (MMB 2006)
  • Symposium Simulationstechnik (ASIM 2006)

 

Current Research Projects


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Previous Research Projects


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  Impressum Last modified: 2010-02-17