• DocumentCode
    238542
  • Title

    Bid-Centric Cloud Service Provisioning

  • Author

    Healy, Patrick ; Meyer, Steffen ; Morrison, Jim ; Lynn, Theo ; Paya, Ashkan ; Marinescu, Dan C.

  • Author_Institution
    Irish Centre for Cloud Comput. & Commerce, Univ. Coll. Cork, Cork, Ireland
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    73
  • Lastpage
    81
  • Abstract
    Bid-centric service descriptions have the potential to offer a new cloud service provisioning model that promotes portability, diversity of choice and differentiation between providers. A bid matching model based on requirements and capabilities is presented that provides the basis for such an approach. In order to facilitate the bidding process, tenders should be specified as abstractly as possible so that the solution space is not needlessly restricted. To this end, we describe how partial TOSCA service descriptions allow for a range of diverse solutions to be proposed by multiple providers in response to tenders. Rather than adopting a lowest common denominator approach, true portability should allow for the relative strengths and differentiating features of cloud service providers to be applied to bids. With this in mind, we describe how service descriptions can be augmented with additional information that allows the bid matching algorithm to make use of heterogeneous processing resources, such as GPUs and MICs.
  • Keywords
    cloud computing; resource allocation; GPU; MIC; bid matching model; bid-centric cloud service provisioning; bid-centric service descriptions; bidding process; cloud service providers; heterogeneous processing resources; partial TOSCA service descriptions; Business; Cloud computing; Computational modeling; Databases; Educational institutions; Standards; Virtual machining; Bid-Centric; Cloud Computing; Service Description Language; TOSCA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing (ISPDC), 2014 IEEE 13th International Symposium on
  • Conference_Location
    Marseilles
  • Print_ISBN
    978-1-4799-5918-1
  • Type

    conf

  • DOI
    10.1109/ISPDC.2014.13
  • Filename
    6900203