QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Evaluation of Service Composition Planning with OWLS-XPlan
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Web Services Composition Method Based on OWL
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03
An Efficient Syntactic Web Service Composition Algorithm Based on the Planning Graph Model
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Web Service Composition Based on XML Nets
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Fast and Scalable Semantic Web Service Composition Approach Considering Complex Pre/Postconditions
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Optimal QoS-Aware Web Service Composition
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
Optimizing QoS-Aware Semantic Web Service Composition
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Optimizing Web Service Composition While Enforcing Regulations
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Web service composition with user preferences
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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Service-oriented architecture (SOA) is one of the latest computing paradigms where the components of software systems are replaced with services accessed over the network and often implemented as web services. Consuming web services in distributed environment entails a wide range of composition, reconfiguration, negotiation and trust issues that bring new research and development challenges. Although various approaches and frameworks for web service composition exist, there is still lack of solutions, which produce executable business processes through dynamic negotiation with service providers, adequate service level agreements (SLAs) and automatic composition of reliable services. Furthermore, there is no answer to the question of what happens with a web service composition when the client requirements for quality of service (QoS) are changed or SLAs are violated. To address these challenges, we propose an architectural view of a platform for dynamic web service composition supporting automatic generation of SLAs from the client requirements, negotiation with web service providers and QoS-aware building of executable business processes.