• DocumentCode
    3289511
  • Title

    A Decision Framework for Cloud Computing

  • Author

    Kaisler, Stephen ; Money, William H. ; Cohen, Stephen J.

  • fYear
    2012
  • fDate
    4-7 Jan. 2012
  • Firstpage
    1553
  • Lastpage
    1562
  • Abstract
    Cloud computing technology is garnering success and wisdom-like stories of savings, ease of use, and increased flexibility in controlling how resources are used at any given time to deliver computing capability. This paper develops a preliminary decision framework to assist managers who are determining which cloud solution matches their specific requirements and evaluating the numerous commercial claims (in many cases unsubstantiated) of a cloud´s value. This decision framework and research helps managers allocate investments and assess cloud alternatives that now compete with in-house data centers that previously stored, accessed, and processed data or with another company´s (outsourced) data center resources. The hypothetically newly captured corporate value (from cloud) is that resources are no longer idle most of the time, and are now much more fully utilized (with lower unit costs). This reduces high ownership and support costs, improves capital leverage, and delivers increased flexibility in the use of resources.
  • Keywords
    cloud computing; cloud computing; cloud solution; corporate value; decision framework; Cloud computing; Companies; Computational modeling; Computer architecture; Servers; Application Architecture; Cloud Computing; Decision Framework; Service Architecture; System Architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science (HICSS), 2012 45th Hawaii International Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4577-1925-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2012.52
  • Filename
    6149073