GLIMPSE: A Generic and Flexible Monitoring Infrastructure

Conference object, Article English OPEN
Bertolino , Antonia ; CalabrĂ² , Antonello ; Lonetti , Francesca ; Sabetta , Antonino (2011)
  • Publisher: HAL CCSD
  • Related identifiers: doi: 10.1145/1978582.1978598
  • Subject: ACM : D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging | ACM : D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.6: Monitors | Model-driven engineering | Complex-event processing | [ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE] | ACM : D.: Software/D.2: SOFTWARE ENGINEERING/D.2.8: Metrics | Monitoring

International audience; To respond to the growing needs of evolution and adaptation coming from the modern open connected world, applications must continuously monitor their own execution and the surrounding context. The events to be observed, belonging to guaranteed functional and non-functional properties, can themselves vary in scope and along time. Therefore the monitor must be easily con figurable and able to serve differing event consumers. To address these requirements, we developed the Glimpse monitoring infrastructure conceived having flexibility and generality as main concerns. The paper introduces the architecture of Glimpse and shows how it can support runtime performance analysis through a simple example.
  • References (22)
    22 references, page 1 of 3

    [1] ActiveMQ: A complete message broker.

    [2] Drools Fusion: Complex Event Processor.

    [3] Esper: Event Stream and Complex Event Processing for Java.

    [4] JBI: Java Business Integration. nal/jsr208/index.html.

    [5] RPC: Model for programming in a distributed computing environment.

    [6] RuleML: The Rule Markup Initiative.

    [7] ServiceMix: an open source ESB.

    [8] Luciano Baresi, Carlo Ghezzi, and Elisabetta Di Nitto. Toward open-world software: Issues and challenges. Computer, 39(10), 2006.

    [9] Wolfgang Barth. Nagios. System and Network Monitoring. No Starch Press, U.S. Ed edition, 2006.

    [10] Antonia Bertolino, Guglielmo De Angelis, Antonino Sabetta, and Sebastian G. Elbaum. Scaling up SLA monitoring in pervasive environments. In Proc. of ESSPE, pages 65{68, 2007.

  • Similar Research Results (2)
  • Metrics
    No metrics available
Share - Bookmark