Online Quality Prediction
Landing Page of QP Working Group of S-Cube
About
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.
Results
- Overview of QP WG results and observations: November 2010, June 2011, November
2011
- Detailed description of QP approaches in S-Cube deliverables: JRA-1.3.4, JRA-1.3.5, JRA-1.3.6
- Research Roadmaps on Online Quality Prediction and Predictive
Monitoring
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
