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Towards an Optimized, Cloud-Agnostic Deployment of Hybrid Applications

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Business Information Systems (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 353))

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Abstract

Serverless computing is currently taking a momentum due to the main benefits it introduces which include zero administration and reduced operation cost for applications. However, not all application components can be made serverless in sight also of certain limitations with respect to the deployment of such components in corresponding serverless platforms. In this respect, there is currently a great need for managing hybrid applications, i.e., applications comprising both normal and serverless components. Such a need is covered in this paper through extending the Melodic platform in order to support the deployment and adaptive provisioning of hybrid, cross-cloud applications. Apart from analysing the architecture of the extended platform, we also explain what are the relevant challenges for supporting the management of serverless components and how we intend to confront them. One use case is also utilised in order to showcase the main benefits of the proposed platform.

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Notes

  1. 1.

    https://serverless.com/framework/.

  2. 2.

    https://fission.io/.

  3. 3.

    https://www.alliedmarketresearch.com/press-release/artificial-intelligence-market.html/.

  4. 4.

    melodic.cloud.

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Acknowledgements

This work has received funding from the Functionizer Eurostars project and from AI Investments Fast Track to innovation project.

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Correspondence to Kyriakos Kritikos .

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Kritikos, K., Skrzypek, P. (2019). Towards an Optimized, Cloud-Agnostic Deployment of Hybrid Applications. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-20485-3_34

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  • DOI: https://doi.org/10.1007/978-3-030-20485-3_34

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-20485-3

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