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From (Incomplete) TOSCA Specifications to Running Applications, with Docker

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Software Engineering and Formal Methods (SEFM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10729))

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Abstract

Cloud applications typically consist of multiple interacting components, each requiring a virtualised runtime environment providing the needed software support (e.g., operating system, libraries). In this paper, we show how TOSCA and Docker can be effectively exploited to orchestrate multi-component applications, even if their (runtime) specification is incomplete. More precisely, we first propose a TOSCA-based representation for multi-component applications, and we show how to use it to specify only the components forming an application. We then present a way to automatically complete TOSCA application specifications, by discovering Docker-based runtime environments that provide the software support needed by the application components. We also discuss how the obtained specifications can be automatically orchestrated by existing TOSCA engines.

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Notes

  1. 1.

    The source code of Thinking is publicly available on GitHub at https://github.com/di-unipi-socc/thinking.

  2. 2.

    https://hub.docker.com/_/mongo/.

  3. 3.

    A more detailed, self-contained introduction to TOSCA can be found in [2, 7].

  4. 4.

    A more detailed introduction to Docker can be found in [15, 20].

  5. 5.

    The actual TOSCA definition of all node types discussed in this section is publicly available on GitHub at https://github.com/di-unipi-socc/tosker-types.

  6. 6.

    The host requirement is mandatory for nodes of type tosker.nodes.Software, as we assume that each application component must be installed in another component or in a Docker container.

  7. 7.

    The documentation of mongo explicitly states that a mongo container must be attached to a Docker volume to persistently store data.

  8. 8.

    Constraining the operating system distribution is particularly useful when the artifacts implementing the management operations of a software component require to perform distribution-specific system calls (e.g., a .sh script performing a command apt-get, which is supported only in Ubuntu-based distributions).

  9. 9.

    The Python sources of TosKeriser are publicly available on GitHub at https://github.com/di-unipi-socc/toskeriser (under MIT license). TosKeriser is also available on PyPI, and it can be directly installed on Linux hosts by executing the command pip install toskeriser.

  10. 10.

    DockerFinder [3] is a tool allowing to search for Docker containers based on multiple attributes, including the software distributions they support and the operating system distribution they are based on.

  11. 11.

    The help of TosKeriser can be displayed by executing toskerise –help|-h, while its actual version can be displayed by executing toskerise –version|-v.

  12. 12.

    https://github.com/di-unipi-socc/TosKeriser/blob/master/data/examples/thinking-app/thinking.csar.

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Authors and Affiliations

  1. Department of Computer Science, University of Pisa, Pisa, Italy

    Antonio Brogi, Davide Neri, Luca Rinaldi & Jacopo Soldani

Authors
  1. Antonio Brogi
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  2. Davide Neri
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  3. Luca Rinaldi
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  4. Jacopo Soldani
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Corresponding author

Correspondence to Jacopo Soldani .

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Editors and Affiliations

  1. Nazarbayev University, Astana, Kazakhstan

    Antonio Cerone

  2. Fondazione Bruno Kessler, Povo, Italy

    Marco Roveri

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Brogi, A., Neri, D., Rinaldi, L., Soldani, J. (2018). From (Incomplete) TOSCA Specifications to Running Applications, with Docker. In: Cerone, A., Roveri, M. (eds) Software Engineering and Formal Methods. SEFM 2017. Lecture Notes in Computer Science(), vol 10729. Springer, Cham. https://doi.org/10.1007/978-3-319-74781-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-74781-1_33

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