Efficient failure diagnosis of openstack using tempest

Ankur Bhatia; Michael Gerndt; Jorge Cardoso

doi:10.1109/MIC.2018.2877077

Efficient failure diagnosis of openstack using tempest

Ankur Bhatia, Michael Gerndt, Jorge Cardoso

Informatics 10 - Associate Professorship of Architecture of Parallel and Distributed Systems

Research output: Contribution to journal › Review article › peer-review

3 Scopus citations

Abstract

While cloud computing continues to be popular in the IT world, companies offering cloud solutions are under pressure to provide the most reliable solutions to users. In this article, we describe an innovative approach to diagnose service failures in an OpenStack-based cloud using Tempest as a starting point.

Original language	English
Article number	8509185
Pages (from-to)	61-70
Number of pages	10
Journal	IEEE Internet Computing
Volume	22
Issue number	6
DOIs	https://doi.org/10.1109/MIC.2018.2877077
State	Published - 1 Nov 2018

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10.1109/MIC.2018.2877077

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title = "Efficient failure diagnosis of openstack using tempest",

abstract = "While cloud computing continues to be popular in the IT world, companies offering cloud solutions are under pressure to provide the most reliable solutions to users. In this article, we describe an innovative approach to diagnose service failures in an OpenStack-based cloud using Tempest as a starting point.",

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AU - Cardoso, Jorge

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M3 - Review article

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Efficient failure diagnosis of openstack using tempest

Abstract

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