• DocumentCode
    182249
  • Title

    Domain Science Applications on GENI: Presentation and Demo

  • Author

    Ruth, Paul ; Mandal, Avirup

  • Author_Institution
    Renaissance Comput. Inst., Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  • fYear
    2014
  • fDate
    21-24 Oct. 2014
  • Firstpage
    540
  • Lastpage
    543
  • Abstract
    Multi-tenant cloud infrastructures are increasingly used for high-performance and high-throughput domain science applications. In recent years, machine virtualization has come a long way toward supporting domain science applications. Various cloud platforms, such as Open Stack, Cloud Stack, and Amazon EC2 are attracting scientists to these platforms with the promise of customized environments with virtually infinite compute resources. At the same time, research efforts, such as NSF GENI are bringing together cloud computing with advanced network infrastructure provisioning. This paper presents work toward evaluating the use of GENI to support domain science applications. The evaluation involved two different domain science applications deployed on ExoGENI and Insta GENI. The first application is ADCIRC, a storm surge model that uses Message Passing Interface (MPI). The second is Motif network, a genomics application using the Pegasus workflow management system to manage a large data-intensive workflow.
  • Keywords
    cloud computing; genomics; geophysics computing; message passing; storms; virtualisation; NSF GENI; Pegasus workflow management system; advanced network infrastructure provisioning; cloud computing; domain science applications; genomics application; large data-intensive workflow; message passing interface; multitenant cloud infrastructures; storm surge model; Bandwidth; Computational modeling; IP networks; Servers; Software; Standards; Virtual machining; Cloud; Networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Protocols (ICNP), 2014 IEEE 22nd International Conference on
  • Conference_Location
    Raleigh, NC
  • Print_ISBN
    978-1-4799-6203-7
  • Type

    conf

  • DOI
    10.1109/ICNP.2014.86
  • Filename
    6980425