Integer and combinatorial optimization
Integer and combinatorial optimization
The Self-Serv Environment for Web Services Composition
IEEE Internet Computing
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Declarative Composition and Peer-to-Peer Provisioning of Dynamic Web Services
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
SpiderNet: An Integrated Peer-to-Peer Service Composition Framework
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Global and Local QoS Constraints Guarantee in Web Service Selection
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Quality of services specification in distributed object systems design
COOTS'98 Proceedings of the 4th conference on USENIX Conference on Object-Oriented Technologies and Systems - Volume 4
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
Proceedings of the 16th European Conference on Pattern Languages of Programs
Hi-index | 0.00 |
Web service composition is to integrate component services for providing a value-added new service. With the growing number of component services and their dynamic nature, the centralized composition model can't manage them efficiently and accurately. In this paper, we proposed a distributed hash table (DHT)-based peer-to-peer (P2P) service composition framework, called ServiceStore. Compared with the central control in centralized model, in our ServiceStore, service selection and composition are distributed to the involved task brokers, requesting nodes and service nodes. Furthermore, a simple parallel service selection approach which can still satisfy global constraints is proposed and implemented in our multi-role cooperation (MRC) protocol. The results of experimental evaluation show that ServiceStore can achieve high scalability and efficiency.