Distributed and collaborative applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an application results from the composition of a set of services in execution on networked server hosts. In this context, a major challenge for collaborative businesses and application service providers is to provide services with high levels of QoS to geographically dislocated consumers. In order to enable better QoS, service providers may employ overlay networks to bring applications closer to their consumers, overcoming slow backbone paths, network congestions and physical latencies. This paper introduces a model-driven QoS management framework that provides both a standard (UML-based) notation to describe QoS-aware collaborative P2P service-based applications and a method for adaptive QoS management based on the automated building of performance models.
Angelaccio, M., D'Ambrogio, A. (2006). A Model-driven framework for managing the QoS of collaborative P2P service-based applications. In Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2006 (pp.95-100). IEEE Computer Society Press [10.1109/WETICE.2006.9].
A Model-driven framework for managing the QoS of collaborative P2P service-based applications
ANGELACCIO, MICHELE;D'AMBROGIO, ANDREA
2006-01-01
Abstract
Distributed and collaborative applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an application results from the composition of a set of services in execution on networked server hosts. In this context, a major challenge for collaborative businesses and application service providers is to provide services with high levels of QoS to geographically dislocated consumers. In order to enable better QoS, service providers may employ overlay networks to bring applications closer to their consumers, overcoming slow backbone paths, network congestions and physical latencies. This paper introduces a model-driven QoS management framework that provides both a standard (UML-based) notation to describe QoS-aware collaborative P2P service-based applications and a method for adaptive QoS management based on the automated building of performance models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
