OpenStack Cluster Monitoring System Based on Machine Learning Algorithms

Projects OpenStack Cluster Monitoring System Based on Machine Learning Algorithms

Canonical is a UK-based, privately held computer software company founded
to market commercial support and related services for Ubuntu and related projects.

The PoC Cluster Monitoring System project demonstrated the implementation of Machine Learning algorithms using OpenStack technologies in real time. Implementing Machine Learning algorithms to discover errors in the cluster makes it possible to save time by drawing the administrator’s attention to the problem as soon as it happens. System faults can even be predicted in advance.

Highlights

  • An intricate solution, which was aimed at predicting potential failures as quickly as possible, basically as they occur.
  • OpenStack technologies enable companies to be more innovative and develop business models faster. A simple cluster failure for a company that strongly depends on its infrastructure can turn out to be disastrous.
  • A classifier is trained using a model in which the parameters were words from a test sample with a value equal to the number of keywords in the text.
  • The PoC demonstrates that OpenStack can be used to address a wide range of issues with Machine Learning algorithms.

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