Economic realities make flexibility in production processes a necessity. Small batch production necessitates reuse of machines within different production processes. Monitoring in such production environments must adapt to process changes without impacting production machines and software. In this work we propose a novel method for production monitoring using event processing networks, separati...

1 Department of Mathematical Sciences, University of Durham, South Road, Durham DH1 3LE, United Kingdom [email protected] 2 Institut de Recherche Mathématique, Université de Rennes I and CNRS UMR 6625, 35042 Rennes Cedex, France [email protected] 3 Instituto de Matemática e Estatı́stica, Universidade de São Paulo, Rua do Matão 1010, CEP 05508-090, São Paulo SP, Brasil...

Currently existing monitoring services for Grid infrastructures typically collect information from local agents and store it as data sets in global repositories. However, for some scenarios querying real-time streams of monitoring information would be extremely useful. In this paper, we evaluate Complex Event Processing technologies applied to real-time Grid monitoring. We present a monitoring ...

Usage of domain background knowledge about sensor data can improve the expressiveness and flexibility of event processing in sensor network applications. Huge amount of domain background knowledge stored in external knowledge bases can be processed in combination with sensor data stream in order to achieve more knowledgeable event processing. In this paper, we discuss the benefits of background...

Engenharia de Materiais, Universidade Tecnológica Federal do Paraná, 86036-370, Londrina, PR, Brazil Laboratório de Novos Materiais Isolantes e Semicondutores (LNMIS), Instituto de Física, Universidade Federal de Uberlândia, CP 593, CEP 38400-902, Uberlândia, Minas Gerais, Brazil Instituto de Ciências Exatas e Naturais e Educação (ICENE), Departamento de Física, Universidade Federal do Triângul...