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Online Quality Prediction

by Andreas Metzger last modified Oct 24, 2012 15:22

Landing Page of QP Working Group of S-Cube


S-Cube’s Online Quality Prediction Working Group (QP WG) has been initiated based on the observation that many researchers within and beyond S-Cube work on the issues related to online quality prediction and online forecasting of failures.

Although there is an agreement on the benefits offered by online QP and the general research problems involved in making it happen, different approaches and solutions have been proposed to date.

The aim of the QP WG is to encourage discussions to understand where and when the various approaches work best and, possibly, how those approaches could be used jointly or even be selected dynamically during the operation of service-based systems.


Contributors to QP Working Group

  • Salima Benbernou, U Paris Descartes FR
  • Michael Boniface, IT Innovation, UK
  • Manuel Carro, UP Madrid, ES
  • Chi-Hung  Chi, Tsinghua U, CN
  • Dimitris Dranidis, SEERC, GR
  • Yagil Engel, IBM Haifa Labs, IL
  • Xavier Franch, UP Catalunya, ES
  • Holger Giese, HPI Potsdam, DE
  • Dimitrios Kourtesis, SEERC, GR
  • Patricia Lago, VU Amsterdam, NL
  • Philipp Leitner, TU Vienna, AT
  • Rogério De Lemos, U Kent, UK
  • Jordi Marco, UP Catalunya, ES
  • Clarissa Marquezan, Paluno / U Duisburg-Essen, DE
  • Andreas Metzger (chair), Paluno / U Duisburg-Essen, DE
  • Andras Micsik, SZTAKI, HU
  • Syed Naqvi, CETIC, BE
  • Marc Oriol, UP Catalunya, ES
  • Osama Sammodi, U Duisburg-Essen, DE
  • Eric Schmieders, U Duisburg-Essen, DE
  • George Spanoudakis, CITY U, UK
  • Branimir Wetzstein, U Stuttgart, DE
  • Zlatko Zlatev, IT Innovation, UK
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