• DocumentCode
    627484
  • Title

    Image transfer optimization for agile development

  • Author

    Karve, Alexei ; Kochut, Andrzej

  • Author_Institution
    IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2013
  • fDate
    27-31 May 2013
  • Firstpage
    554
  • Lastpage
    560
  • Abstract
    Cloud computing is becoming a common delivery model for IT services. Development and testing of applications and services is usually conducted on a development cloud environment often within customer premises and deployed in stages to a production cloud. Agile development process integrates development and deployment of IT systems and requires frequent and low cost synchronization between development and deployment cloud environments. This article proposes and evaluates virtual machine transfer algorithm based on image redundancy that allows to reduce bandwidth and time required to transfer specific images from development to production sites. It also explores how a typical image library, including public and private images, evolves over time and what impact it has on potential gain from the proposed algorithm. An analytical model is also proposed that allows to quantify degree of saving from using the algorithm. Evaluation shows up to 80% reduction in terms of transfer time and network bandwidth usage.
  • Keywords
    cloud computing; software prototyping; virtual machines; IT services; IT system deployment; IT system development; agile development process; analytical model; cloud computing; deployment cloud environments; development cloud environment; image library; image redundancy; image transfer optimization; network bandwidth usage; private image; production cloud; public image; transfer time; virtual machine transfer algorithm; Bandwidth; Clustering algorithms; Indexes; Libraries; Redundancy; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management (IM 2013), 2013 IFIP/IEEE International Symposium on
  • Conference_Location
    Ghent
  • Print_ISBN
    978-1-4673-5229-1
  • Type

    conf

  • Filename
    6573032