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

  • Ta’id HolmesEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 740)

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 Open image in new window 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.

Keywords

Adaptation Cloud Code generation Configuration Datacenter Deployment DSL IaaS MBE Metamodel OpenStack SDN 

Notes

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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Infrastructure Cloud, Deutsche Telekom Technik GmbHDarmstadtGermany

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