publication . Other literature type . Report . 2020

Machine Learning Applications on Openstack log data analysis

Nudurupati, Ravi Charan;
Open Access
  • Published: 07 Jun 2020
  • Publisher: Zenodo
Abstract
A massive amount of data is generated by the Openstack cloud services in the format of service logs. Besides timestamps and log level fields, these logs contain additional information useful for pattern analysis. Unfortunately, this information is generally exposed in semi-structured text format, not allowing direct analysis without additional munging of the data. Traditional approaches to extract information from those fields are rule-based, mainly applying regular expressions upon knowledge of the text structure. These approaches require a pre-knowledge of all text patterns and are not scalable with the growth of the services. This report proposes a solution t...
Subjects
free text keywords: OpenStack, MinHash, Locality Sensitive Hashing, Shingles, DB Scan, CERN openlab, Summer Student Programme
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Zenodo
Other literature type . 2020
Provider: Datacite
Zenodo
Other literature type . 2020
Provider: Datacite
ZENODO
Report . 2020
Provider: ZENODO
ZENODO
Report . 2020
Provider: ZENODO
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publication . Other literature type . Report . 2020

Machine Learning Applications on Openstack log data analysis

Nudurupati, Ravi Charan;