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    Image selection as a service for cloud computing environments

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    Type
    Conference Paper
    Authors
    Filepp, Robert
    Shwartz, Larisa
    Ward, Christopher
    Kearney, Robert D.
    Cheng, Karen
    Young, Christopher C.
    Ghosheh, Yanal cc
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2010-12
    Permanent link to this record
    http://hdl.handle.net/10754/594105
    
    Metadata
    Show full item record
    Abstract
    Customers of Cloud Services are expected to choose specific machine images to instantiate in order to host their workloads. Unfortunately very little information is provided to the users to enable them to make intelligent choices. We believe that as the number of images proliferates it will become increasingly difficult for users to decide effectively. Cloud service providers often allow their customers to instantiate standard system images, to modify their instances, and to store images of these customized instances for public or private future use. Storing modified instances as images enables customers to avoid re-provisioning and re-configuration of required resources thereby reducing their future costs. However Cloud service providers generally do not expose details regarding the configurations of the images in a rigorous canonical fashion nor offer services that assist clients in the best target image selection to support client transformation objectives. Rather, they allow customers to enter a free-form description of an image based on client's best effort. This means in order to find a "best fit" image to instantiate, a human user must review potentially thousands of image descriptions, reading each description to evaluate its suitability as a platform to host their source application. Furthermore, the actual content of the selected image may differ greatly from its description. Finally, even images that have been customized and retained for future use may need additional provisioning and customization to accommodate specific needs. In this paper we propose a service that accumulates image configuration details in a canonical fashion and a further service that employs an algorithm to order images per best fit /least cost in conformance to user-specified policies. These services collectively facilitate workload transformation into enterprise cloud environments.
    Citation
    Filepp R, Shwartz L, Ward C, Kearney RD, Cheng K, et al. (2010) Image selection as a service for cloud computing environments. 2010 IEEE International Conference on Service-Oriented Computing and Applications (SOCA). Available: http://dx.doi.org/10.1109/soca.2010.5707149.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2010 IEEE International Conference on Service-Oriented Computing and Applications (SOCA)
    Conference/Event name
    2010 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2010
    ISBN
    9781424498017
    DOI
    10.1109/soca.2010.5707149
    ae974a485f413a2113503eed53cd6c53
    10.1109/soca.2010.5707149
    Scopus Count
    Collections
    Conference Papers; Biological and Environmental Sciences and Engineering (BESE) Division; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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