Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Introduction: Service-oriented computing
Communications of the ACM - Service-oriented computing
QoS-Aware Replanning of Composite Web Services
ICWS '05 Proceedings of the IEEE International Conference on Web Services
A Model-driven WSDL Extension for Describing the QoS ofWeb Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
A model-driven approach to describe and predict the performance of composite services
WOSP '07 Proceedings of the 6th international workshop on Software and performance
A Model-Driven Framework for Managing the QoS of Collaborative P2P Service-Based Applications
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
QShare: QoS-Enabled Description and Discovery of Services in SOA-Based P2P Applications
WETICE '07 Proceedings of the 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
A WSDL extension for performance-enabled description of web services
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
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The adoption of a P2P paradigm for implementing software applications based on service oriented architectures (SOA) is gaining momentum as a valid alternative to the classic client-server paradigm. In this context, service providers are strategically interested to describe and manage the quality of service (QoS) characteristics of offered services. The ability to carry out QoS-oriented service discovery activities is an essential issue for effectively managing the QoS of SOA-based P2P applications and as consequence to guarantee an good quality level among collaborating services. To this purpose, this paper introduces a JXTA-based peer architecture for enhanced service discovery in SOA-based P2P applications. The proposed approach builds upon a model-driven framework for predicting, at composition time, and managing, at execution time, the QoS of SOA-based P2P applications.