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Ming: Model- and View-Based Deployment and Adaptation of Cloud Datacenters

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Cloud Computing and Services Science (CLOSER 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 740))

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Abstract

For the configuration of a datacenter from bare metal up to the level of infrastructure as a service (IaaS) solutions, currently, there is neither a standard nor a common datamodel that is understood across deployment automation tools. Following a model- and view-based approach, Ming aims at holistically describing cloud datacenters. Establishing a respective metamodel, it supports different stakeholders with tailored views and permits utilization of arbitrary deployment tools for providing the basic cloud service model. In addition to initial deployments, it targets (model-based) adaptation of datacenters for covering operational use cases such as extending a cloud with additional resources and for providing for software upgrades and patches of the deployed solutions.

This is an extended version of a former contribution [23] incorporating post-deployment aspects.

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Notes

  1. 1.

    In order to profit from Enhanced Platform Awareness (EPA) host aggregates can be defined in OpenStack. Resources can be allocated within such aggregates for hosting services that want to make use of features such as hugepages, Non-Uniform Memory Access (NUMA), or CPU pinning for achieving high throughput.

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Acknowledgments

The author would like to thank the members of the extended Infrastructure Cloud team, i.e., Alexandros Tsirepas, Andreas Flick, Axel Clauberg, Basil Ahmed, Bernard Tsai, Daniel Brower, George Wu, Herbert Damker, Karsten Reincke, Ken Jung, Matthias Britsch, Michael Linke, Michael Machado, Normen Kowalewski, Patrick Münch, Rainer Schatzmayr, Robert Schwegler, Seth Chen, Stefan Schraub, Steve Liu, Thomas Hillen, Thomas Oswald, Tobias Brausen, and Tomislav Sukser for their dedicated endeavors making this work possible, valuable feedback, and helpful comments.

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Authors and Affiliations

  1. Infrastructure Cloud, Deutsche Telekom Technik GmbH, Darmstadt, Germany

    Ta’id Holmes

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  1. Ta’id Holmes
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Correspondence to Ta’id Holmes .

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Editors and Affiliations

  1. Dublin City University, Dublin, Ireland

    Markus Helfert

  2. Columbia University, New York, New York, USA

    Donald Ferguson

  3. Escola d’Enginyeria, Bellaterra, Barcelona, Spain

    Victor Méndez Muñoz

  4. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Jorge Cardoso

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Holmes, T. (2017). Ming: Model- and View-Based Deployment and Adaptation of Cloud Datacenters. In: Helfert, M., Ferguson, D., Méndez Muñoz, V., Cardoso, J. (eds) Cloud Computing and Services Science. CLOSER 2016. Communications in Computer and Information Science, vol 740. Springer, Cham. https://doi.org/10.1007/978-3-319-62594-2_16

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  • DOI: https://doi.org/10.1007/978-3-319-62594-2_16

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