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Recovering from Cloud Application Deployment Failures Through Re-execution

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Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10230))

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Abstract

In this paper we study the problem of automated cloud application deployment and configuration. Transient failures are commonly found in current cloud infrastructures, attributed to the complexity of the software and hardware stacks utilized. These errors affect cloud application deployment, forcing the users to manually check and intervene in the deployment process. To address this challenge, we propose a simple yet powerful deployment methodology with error recovery features that bases its functionality on identifying the script dependencies and re-executing the appropriate configuration scripts. To guarantee the idempotent script execution, we adopt a filesystem snapshot mechanism that enables our approach to revert to a healthy filesystem state in case of failed script executions. Our experimental analysis indicates that our approach can resolve any transient deployment failure appearing during the deployment phase, even in highly unpredictable cloud environments.

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Notes

  1. 1.

    Note that message transmission might not be instant (as implied by the Figure) since consumption of a specific message might occur much later than the message post, but the arrows are depicted perpendicular to the time axis for simplicity.

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Authors and Affiliations

  1. Computing Systems Laboratory, National Technical University of Athens, Athens, Greece

    Ioannis Giannakopoulos, Ioannis Konstantinou & Nectarios Koziris

  2. Department of Informatics, Ionian University, Corfu, Greece

    Dimitrios Tsoumakos

Authors
  1. Ioannis Giannakopoulos
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  2. Ioannis Konstantinou
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  3. Dimitrios Tsoumakos
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  4. Nectarios Koziris
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Corresponding author

Correspondence to Ioannis Giannakopoulos .

Editor information

Editors and Affiliations

  1. Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, Victoria, Australia

    Timos Sellis

  2. Informatics, Ionian University, Kerkyra, Greece

    Konstantinos Oikonomou

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Giannakopoulos, I., Konstantinou, I., Tsoumakos, D., Koziris, N. (2017). Recovering from Cloud Application Deployment Failures Through Re-execution. In: Sellis, T., Oikonomou, K. (eds) Algorithmic Aspects of Cloud Computing. ALGOCLOUD 2016. Lecture Notes in Computer Science(), vol 10230. Springer, Cham. https://doi.org/10.1007/978-3-319-57045-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-57045-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57044-0

  • Online ISBN: 978-3-319-57045-7

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