Cost-driven optimization of complex service-based workflows for stochastic QoS parameters

Publikationstyp
Conference Paper
Publikationsdatum
2012-06
Sprache
English
Author
Schuller, Dieter 
Lampe, Ulrich 
Eckert, Julian 
Steinmetz, Ralf 
Schulte, Stefan 
TORE-URI
http://hdl.handle.net/11420/11945
Start Page
66
End Page
73
Article Number
6257791
Citation
IEEE 19th International Conference on Web Services (ICWS 2012)
Contribution to Conference
IEEE 19th International Conference on Web Services, ICWS 2012 
Publisher DOI
10.1109/ICWS.2012.50
Scopus ID
2-s2.0-84866379050
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.
Schlagworte
Optimization
Service Selection
Simulation
Stochastic Quality of Service