LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Observing highly dynamic Peer-to-Peer systems is essential for many applications such as fault management or business processing. We demonstrate P2PMonitor, a P2P system for monitoring such systems. Alerters deployed on the monitored peers are designed to detect particular kinds of local events. They generate streams of XML data that form the primary sources of information for P2PMonitor. The core of the system is composed of processing components implementing the operators of an algebra over data streams. From a user viewpoint, monitoring a P2P system can be as simple as querying an XML document. The document is an ActiveXML document that aggregates a (possibly very large) number of streams generated by alerters on the monitored peers. Behind the scene, P2PMonitor compiles the monitoring query into a distributed monitoring plan, deploys alerters and stream algebra processors and issues notifications that are sent to users. The system functionalities are demonstrated by simulating the supply chain of a large company.
Serge Abiteboul, Bogdan Marinoiu, Pierre Bourhis. Distributed Monitoring of Peer-to-Peer Systems (demo). International Conference on Data Engineering, IEEE, Apr 2008, Cancun, Mexico. ⟨inria-00259059⟩
