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Monitoring SOA Applications with SOOM Tools: A Competitive Analysis


  • Zoraja Ivan


  • Trlin Goran


  • Matijević Marko

    () (Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture, University of Split, Split, Croatia)


Background: Monitoring systems decouple monitoring functionality from application and infrastructure layers and provide a set of tools that can invoke operations on the application to be monitored. Objectives: Our monitoring system is a powerful yet agile solution that is able to online observe and manipulate SOA (Service-oriented Architecture) applications. The basic monitoring functionality is implemented via lightweight components inserted into SOA frameworks thereby keeping the monitoring impact minimal. Methods/Approach: Our solution is software that hides the complexity of SOA applications being monitored via an architecture where its designated components deal with specific SOA aspects such as distribution and communication. Results: We implement an application-level and end-to-end monitoring with the end user experience in focus. Our tools are connected to a single monitoring system which provides consistent operations, resolves concurrent requests, and abstracts away the underlying mechanisms that cater for the SOA paradigm. Conclusions: Due to its flexible architecture and design our monitoring tools are capable of monitoring SOA application in Cloud environments without significant modifications. In comparisons with related systems we proved that our agile approaches are the areas where our monitoring system excels

Suggested Citation

  • Zoraja Ivan & Trlin Goran & Matijević Marko, 2013. "Monitoring SOA Applications with SOOM Tools: A Competitive Analysis," Business Systems Research, Sciendo, vol. 4(1), pages 21-35, March.
  • Handle: RePEc:bit:bsrysr:v:4:y:2013:i:1:p:21-35

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    Monitoring; Real-time; Agile; Lightweight; SOA; Cloud; APM; BTM; Security; BI JEL classification: C61; C63; C8; M15;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management


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