Talks and Poster Presentations (with Proceedings-Entry):
D. Schuller, U. Lampe, J. Eckert, R. Steinmetz, S. Schulte:
"Cost-driven Optimization of Complex Service-based Workflows for Stochastic QoS Parameters";
Talk: IEEE 19th International Conference on Web Services, ICWS 2012,
Honolulu, Hawaii, USA;
- 2012-06-29; in: "Proceedings of the 2012 IEEE 19th International Conference on Web Services, ICWS 2012",
C. Goble, P. Chen, J. Zhang (ed.);
IEEE Computer Society,
The challenge of optimally selecting services from a set of functionally appropriate ones under Quality of Service (QoS) constraints - the Service Selection Problem - has been extensively addressed in the literature based on deterministic parameters. In practice, however, Quality of Service QoS parameters rather follow a stochastic distribution. In the work at hand, we present an integrated approach which addresses the Service Selection Problem for complex workflows in conjunction with stochastic Quality of Service parameters. Accounting for penalty cost which accrue due to Quality
of Service violations, our approach reduces the impact of stochastic QoS behavior on total cost significantly.
Service Selection, Stochastic Quality of Service, Optimization, Simulation
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.