ON INTEGRATION OF EVOLVING INFRASTRUCTURE TOPOLOGY GRAPHS AND METRIC DATA STREAMS IN INFORMATION TECHNOLOGY INFRASTRUCTURE MANAGEMENT

Authors

  • Jānis Kampars Riga Technical University (LV)
  • Jānis Grabis Riga Technical University (LV)
  • Ralfs Matisons Riga Technical University (LV)
  • Artjoms Vindbergs TET (LV)

DOI:

https://doi.org/10.17770/etr2021vol2.6607

Keywords:

infrastructure monitoring, infrastructure topology, stream processing, evolving graphs

Abstract

Modern cloud-based information technology (IT) infrastructure monitoring context and data are gathered from various systems. Typical monitoring systems provide a set of metrics characterizing the performance and health of a variety of infrastructure components. To understand the dependencies and relations among these measurements, the infrastructure topology can be analysed to provide context to the monitoring metrics. However, the metrics and the topology are updated at different time intervals and providing continuous merging and analysis of both data sets is a challenging task which is rarely addressed in the scientific literature. The paper elaborates a method for integration of infrastructure topology graph and monitoring metric data streams. The method is intended for application in the identification of anomalies in IT infrastructure.

 

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Published

2021-06-17

How to Cite

[1]
J. Kampars, J. Grabis, R. Matisons, and A. Vindbergs, “ON INTEGRATION OF EVOLVING INFRASTRUCTURE TOPOLOGY GRAPHS AND METRIC DATA STREAMS IN INFORMATION TECHNOLOGY INFRASTRUCTURE MANAGEMENT”, ETR, vol. 2, pp. 62–68, Jun. 2021, doi: 10.17770/etr2021vol2.6607.