Talks and Poster Presentations (with Proceedings-Entry):

B. Hofreiter, S. Marchand-Maillet:
"Rank Aggregation for QoS-aware Web Service Selection and Composition";
Talk: IEEE International Conference on Service Oriented Computing and Applications (SOCA 2013), Kauai, USA; 2013-12-16 - 2013-12-18; in: "6th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2013)", IEEE Computer Society, (2013), ISBN: 978-1-4799-2701-2; 8 pages.

English abstract:
Service Composition is an essential part of Service
Oriented Architectures (SOA). The number of available alternatives
for web services offering similar functional characteristics
opens opportunities to maximise compositions based on criteria
embedded into the Quality of Service (QoS). These non-functional
criteria may be numerous and diverse, and arise from various
constraints, making composition an optimal information fusion
problem. A number of solutions have been offered to resolve the
selection problem for web service composition, essentially relying
on exploiting and combining absolute performance values for
measuring multi-dimensional QoS.
In this paper, we investigate the use of Rank Aggregation
methods for performing adequate information fusion for web
service selection in view of composition. Our goal is to take
advantage of these methods working on ranks rather than on the
direct values for inferring global QoS. We formalise our approach
and demonstrate its validity via an empirical study. We further
evaluate our approach on publicly available real data gathered
from actual web service characteristics.

web service selection; web service composition; Quality of Service; Rank aggregation; Information fusion; Data Analytics;

Electronic version of the publication:

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