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An Evaluation of Pacemaker Cluster Resource Manager Reliability

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 96))

Abstract

Assessing Mission-Critical systems is non-trivial, even more when Commercial-Off-The-Shelf (COTS) software tools, which have not been developed following custom reliability rules, are adopted. A satisfactory process of standard certification brings in a model estimation of system reliability. However, its evaluation requires in input reliability data of subsystem units, which are quite difficult to obtain. A practical issue, in fact, concerns a general lack of detailed statistical evaluations coming from on-field experiences. While, on the hardware side, the research community gave an effective contribution, on the software side, there is still work to do. An example is represented by the Cluster Resource Manager (CRM) software running on top of clustered systems, which is responsible of orchestrating fail-over operations. To the best of our knowledge, for such a component there isn’t any reliability evaluation based on field experiences.

In this work, a particular CRM, namely Pacemaker, was tested to estimate the fail-over success probability in the occurrence of different type of resource outages. Pacemaker is one of the most accepted CRM and is used in several Critical Infrastructure (CI) contexts to ensure high availability of their Industrial Control System (ICS). Our experiments have been conducted on a real clustered ICS, the Train Management System (TMS) of Hitachi Ansaldo STS.

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Notes

  1. 1.

    http://clusterlabs.org/wiki/Pacemaker.

  2. 2.

    http://corosync.github.io/corosync/.

  3. 3.

    https://blitiri.com.ar/p/libfiu/.

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Acknowledgments

This project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under g.a. No. 833088 (InfraStress).

Authors would like to thank Giovanni Mazzeo for his support in the research activity.

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Authors and Affiliations

  1. University of Naples ‘Parthenope’, Naples, Italy

    Davide Appierto & Vincenzo Giuliano

Authors
  1. Davide Appierto
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  2. Vincenzo Giuliano
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Correspondence to Vincenzo Giuliano .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. University of Antwerp, Antwerpen, Belgium

    Peter Hellinckx

  3. Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

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Appierto, D., Giuliano, V. (2020). An Evaluation of Pacemaker Cluster Resource Manager Reliability. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-33509-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33508-3

  • Online ISBN: 978-3-030-33509-0

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