versión On-line ISSN 1870-9044
Polibits no.41 México ene./jun. 2010
On a Framework for Complex and ad hoc Event Management over Distributed Systems
Genoveva VargasSolar1, Paolo Bucciol2, and Christine Collet1
1 CNRS UMI 3175, FrenchMexican Laboratory of Informatics and Automatic Control, Grenoble Institute of Tecnology and with Laboratory of Informatics of Grenoble, France. (Genoveva.Vargas@imag.fr, Christine.Collet@imag.fr).
2 CNRS UMI 3175, FrenchMexican Laboratory of Informatics and Automatic Control, Grenoble Institute of Tecnology, France. (email@example.com).
Manuscript received March 2, 2010.
Manuscript accepted for publication June 14, 2010.
Internetbased communications have amazingly evolved in recent years. As a consequence, the number and complexity of distributed systems which provide access to services and applications has dramatically increased. As long as these services have been extended to support an increasing number of communication media (voice, audio, video, ...) and systems, ad hoc communication protocols and methodologies have been designed and developed. Given the autonomy of available services and applications, distributed systems generally rely on eventbased communications for integrating these resources. However, a general model for the management of eventbased communications, suitable for complex and ad hoc event processing as well as for the generic publish/subscribe messaging paradigm, is still missing. This paper presents1 a general and flexible event detection and processing framework which can be adapted based on specific requirements and situations. Within the framework, the main aspects of event management over distributed systems are treated, such as event definition, detection, production, notification and history management. Other aspects such as event composition, are also discussed. The goal of the paper is to provide a common paradigm for eventbased communications, providing at the same time new advantages with respect to the existing standards such as composition, interoperability and dynamic adaptability.
Key words: Event management, modeling, distributed systems, interoperability, adaptability.
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1 This work was partially supported by an external research project financed by Orange Labs, France.