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MDL: Metrics Definition Language

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Intelligent Information and Database Systems (ACIIDS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6591))

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Abstract

The paper presents Metrics Definition Language (MDL), a new format for metric definition. MDL is a flexible grammar based language, which clearly separates the idea of a data source from a metric. Hence, MDL provides ways to define complex metrics that can be defined over many data sources or even other metrics. It also supports basic mathematical operations, that can be used to define metric aggregations and transformations. The language is human readable, universal and data format agnostic. It can be easily used with every monitoring system.

This work has been partially supported by the Polish Ministry of Science and Higher Education within the European Regional Development Fund, Grant No. POIG.01.03.01-00-008/08 IT-SOA https://www.soa.edu.pl/

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Author information

Authors and Affiliations

  1. Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965, Poznań, Poland

    Jerzy Brzeziński, Dariusz Dwornikowski, Michał Kalewski, Tomasz Pawlak & Michał Sajkowski

Authors
  1. Jerzy Brzeziński
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  2. Dariusz Dwornikowski
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  3. Michał Kalewski
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  4. Tomasz Pawlak
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  5. Michał Sajkowski
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Editor information

Editors and Affiliations

  1. Wroclaw University of Technology, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Engineering, Yeungnam University, 712-749, Dae-Dong, Gyeungsan, Korea

    Chong-Gun Kim

  3. Institute of Informatics, Automation and Robotics, Wroclaw University of Technology, 50-370, Wrocław, Poland

    Adam Janiak

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© 2011 Springer-Verlag Berlin Heidelberg

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Brzeziński, J., Dwornikowski, D., Kalewski, M., Pawlak, T., Sajkowski, M. (2011). MDL: Metrics Definition Language. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6591. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20039-7_25

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  • DOI: https://doi.org/10.1007/978-3-642-20039-7_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20038-0

  • Online ISBN: 978-3-642-20039-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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