A monitoring data set for evaluating QoS-aware service-based systems
Philipp Leitner, Waldemar Hummer, Schahram Dustdar · Principles of Engineering Service-Oriented Systems · 2012
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.