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A Review of Monitoring Probes for Cloud Computing Continuum

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Advanced Information Networking and Applications (AINA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 655))

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Abstract

Nowadays, we consider optimizing data-intensive applications imperative for the digital enterprise to exploit the vast amounts of available data and maximize its business value. This fact necessitated the broad adoption of multicloud and fog deployment models towards enhanced use of distributed hosting resources that may reach the edge of the network. However, this poses significant research challenges concerning how one can automatically discover the best initial deployment of such an application and then continuously adapt it according to the defined Service Level Objectives (SLOs), even in extreme scenarios of workload fluctuations. Among the key tools for managing such multicloud applications are advanced distributed monitoring mechanisms. In this work, we consider some of their fundamental components, which refer to the means for efficiently measuring and propagating information on the application components and their hosting. Specifically, we analyze the 20 most well-known monitoring tools and compare them against several criteria. This comparison allows us to discuss their fit for the distributed complex event processing frameworks of the future that can efficiently monitor applications and trigger reconfigurations across the Cloud Computing Continuum.

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Notes

  1. 1.

    https://aws.amazon.com/cloudwatch/.

  2. 2.

    http://chukwa.apache.org.

  3. 3.

    https://docs.microsoft.com/en-us/azure/azure-monitor/overview.

  4. 4.

    https://www.cacti.net/.

  5. 5.

    https://collectd.org/.

  6. 6.

    https://www.datadoghq.com/.

  7. 7.

    https://www.dynatrace.com/.

  8. 8.

    https://cloud.google.com/monitoring/.

  9. 9.

    https://cloud.google.com/monitoring/agent.

  10. 10.

    https://collectd.org/.

  11. 11.

    https://icinga.com/.

  12. 12.

    https://www.logicmonitor.com/.

  13. 13.

    http://munin-monitoring.org/.

  14. 14.

    https://www.nagios.org/.

  15. 15.

    https://www.netdata.cloud/.

  16. 16.

    https://humdi.net/vnstat/.

  17. 17.

    https://newrelic.com/.

  18. 18.

    https://github.com/openstack/telemetry-specs.

  19. 19.

    https://github.com/openstack/aodh.

  20. 20.

    https://github.com/openstack/ceilometer.

  21. 21.

    https://github.com/openstack/panko.

  22. 22.

    https://www.opsview.com/.

  23. 23.

    https://prometheus.io/.

  24. 24.

    https://grafana.com/.

  25. 25.

    https://github.com/sequenceiq.

  26. 26.

    shorturl.at/enBP3.

  27. 27.

    https://www.elastic.co.

  28. 28.

    http://logstash.net.

  29. 29.

    https://www.elastic.com/producs/kibana.

  30. 30.

    http://www.shinken-monitoring.org/

  31. 31.

    https://docs.pnp4nagios.org/

  32. 32.

    http://graphiteapp.org/.

  33. 33.

    https://www.zabbix.com/.

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Acknowledgments

The research leading to these results has received funding from the EU’s Horizon 2020 research and innovation programme under grant agreement No. 871643 MORPHEMIC project.

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Authors and Affiliations

  1. Department of Business Administration, Athens University of Economics and Business, Patission 76, 10434, Athens, Greece

    Yiannis Verginadis

  2. Institute of Communications and Computer Systems, Iroon Polytechniou 9, 15780, Zografou, Greece

    Yiannis Verginadis

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  1. Yiannis Verginadis
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Correspondence to Yiannis Verginadis .

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Editors and Affiliations

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

    Leonard Barolli

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Verginadis, Y. (2023). A Review of Monitoring Probes for Cloud Computing Continuum. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-031-28694-0_59

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