• DocumentCode
    2446847
  • Title

    Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure

  • Author

    Luckow, André ; Jha, Shantenu

  • Author_Institution
    Center for Comput. & Technol., Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 3 2010
  • Firstpage
    550
  • Lastpage
    556
  • Abstract
    Azure is an emerging cloud platform developed and operated by Microsoft. It provides a range of abstractions and building blocks for creating scalable and reliable scientific applications. In this paper we investigate the applicability of the Azure abstractions to the well-known class of loosely coupled and ensemble-based applications. We propose the BigJob API as a novel abstraction for managing groups of Azure worker roles and for remotely executing tasks on them. We demonstrate that Azure enhanced with Big Job functionality provides performance comparable to other grid and cloud offerings loosely-coupled applications.
  • Keywords
    application program interfaces; cloud computing; Azure abstractions; BigJob API; Microsoft; cloud platform; ensemble-based simulations; loosely-coupled simulations; Bandwidth; Computational modeling; Computer architecture; Dynamic scheduling; Hardware; Software; Cloud; Distributed Computing; Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    978-1-4244-9405-7
  • Electronic_ISBN
    978-0-7695-4302-4
  • Type

    conf

  • DOI
    10.1109/CloudCom.2010.85
  • Filename
    5708499