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10.1109/EDOC.2014.26guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Feature-Based Configuration of Vendor-Independent Deployments on IaaS

Published: 01 September 2014 Publication History

Abstract

Infrastructure as a Service (IaaS) is commonly used to deploy distributed systems like Web applications. For every component of a distributed system, IaaS consumers need to select, configure, and deploy a virtual machine (VM), the image to run on the VM, and software to install on the image. These tasks involve multiple decisions, require complex and error-prone manual effort, and may occur unexpectedly. To deal with these challenges, we present a feature-based configuration and vendor-independent deployment approach. An IaaS deployment model allows to describe and automatically perform the distributed system deployment vendor-independently. We use service feature modeling to support the decisions required for configuration. These modeling approaches are combined in a feature-based configuration and deployment process. It can be performed automatically and can be triggered in reaction to unexpected events. We present a proof-of-concept implementation that we use to perform a use case about deploying the Web application of the Barcoo service, showing the approach's applicability.

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  • (2017)A Taxonomy and Survey of Cloud Resource Orchestration TechniquesACM Computing Surveys10.1145/305417750:2(1-41)Online publication date: 10-May-2017
  1. Feature-Based Configuration of Vendor-Independent Deployments on IaaS

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    Information & Contributors

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    Published In

    cover image Guide Proceedings
    EDOC '14: Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference
    September 2014
    238 pages
    ISBN:9781479954704

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 01 September 2014

    Author Tags

    1. IaaS
    2. configuration
    3. deployment
    4. feature modeling

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    • (2017)A Taxonomy and Survey of Cloud Resource Orchestration TechniquesACM Computing Surveys10.1145/305417750:2(1-41)Online publication date: 10-May-2017

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