Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant algorithms for discrete optimization
Artificial Life
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
A journey to highly dynamic, self-adaptive service-based applications
Automated Software Engineering
SASO '09 Proceedings of the 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems
QoS-aware service composition in dynamic service oriented environments
Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
MAS organisations to adapt your composite service
Proceedings of the 3rd International Workshop on Monitoring, Adaptation and Beyond
QoS driven dynamic binding in-the-many
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
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Nowadays it is possible to design and execute complex service orchestrations using standardized languages, such as Business Process Execution Language (BPEL). Even more, there are (open and closed source) tools capable of executing and monitoring service orchestrations using those languages. What is still lacking, however, is proper software support to maintain the desired quality of service (QoS) of the composite services, that are created using such orchestrations. We propose a middleware solution that is able to maintain the required non-functional attributes, expressed as QoS, using a decentralized coordination mechanism. We evaluate how our approach can enhance current composite services regarding the availability, performance, robustness, and scalability.