• DocumentCode
    169906
  • Title

    Feature-Based Configuration of Vendor-Independent Deployments on IaaS

  • Author

    Wittern, Erik ; Lenk, Alexander ; Bartenbach, Sebastian ; Braeuer, Tobias

  • Author_Institution
    eOrganization Res. Group, FZI Forschungszentrum Inf., Karlsruhe, Germany
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    128
  • Lastpage
    135
  • 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.
  • Keywords
    cloud computing; Barcoo service; IaaS deployment model; Web application; distributed system deployment; feature-based configuration; infrastructure as a service; service feature modeling; vendor-independent deployments; Databases; Engines; Load modeling; Manuals; Measurement units; Software; Virtual machining; IaaS; configuration; deployment; feature modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference (EDOC), 2014 IEEE 18th International
  • Conference_Location
    Ulm
  • ISSN
    1541-7719
  • Type

    conf

  • DOI
    10.1109/EDOC.2014.26
  • Filename
    6972059