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Talks and Poster Presentations (with Proceedings-Entry):

Ph. Leitner, W. Hummer, S. Dustdar:
"A Monitoring Data Set for Evaluating QoS-Aware Service-Based Systems";
Talk: 4th International Workshop on Principles of Engineering Service-Oriented Systems (PESOS 2012) in conjunction with ICSE 2012, Zurich, Switzerland; 2012-06-02 - 2012-06-09; in: "Proceedings of the 4th International Workshop on Principles of Engineering Service-Oriented Systems (PESOS 2012) in conjunction with ICSE 2012", IEEE Computer Society, (2012), ISBN: 978-1-4673-1755-9; 67 - 68.



English abstract:
Research in service-oriented computing traditionally struggles with the absence of public cases and data sets for evaluating and comparing research results. This is particularly evident for QoS-aware service-based computing, where public and widely accepted QoS traces would help to strengthen the fair comparison of QoS-aware automated composition and QoS prediction approaches. In this paper, we present one public data set produced for the evaluation of a contribution to the IEEE Transactions on Services Computing journal. We briefly introduce the background story of the use case and describe
our monitored data set. We hope that this data set can serve as a basis for evaluation of future research papers from other authors.

Keywords:
service-based computing; case study; data set; QoS


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/PESOS.2012.6225945



Related Projects:
Project Head Schahram Dustdar:
INDENICA

Project Head Schahram Dustdar:
S-Cube


Created from the Publication Database of the Vienna University of Technology.