Optimizing Service Selection for Probabilistic QoS Attributes
Key: LSES10-1
Author: Ulrich Lampe, Dieter Schuller, Julian Eckert, Ralf Steinmetz
Date: July 2010
Kind: In proceedings
Publisher: SciTePress
Book title: Proceedings of the 4th International Workshop on Architecture, Concepts and Technologies for Service Oriented Computing (ACT4SOC 2010)
Keywords: SOA, service selection, workflow simulation
Abstract: The service selection problem (SSP) - i.e., choosing from sets of functionally equivalent services in order to fulfill certain business process steps based on non-functional requirements - has frequently been addressed in literature considering deterministic values for the Quality of Service (QoS) attributes. However, the usage of deterministic values does not reflect the uncertainty about the actual value of an attribute during execution, thus ignoring the risk of QoS violations. In the paper at hand, a simulative step, based on stochastic QoS attributes, is performed as complement for optimally solving the SSP using linear programming methods. With this two-step approach, uncertainties in the selected set of services can be explicitly revealed and addressed through repeated selection steps, thus allowing to prevent the violation of QoS restrictions much more effectively.
View Full paper (PDF) | Download Full paper (PDF)

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, not withstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.