• DocumentCode
    1787495
  • Title

    Data Avenue: Remote Storage Resource Management in WS-PGRADE/gUSE

  • Author

    Hajnal, Akos ; Farkas, Zoltan ; Kacsuk, Peter

  • Author_Institution
    Lab. of Parallel & Distrib. Syst., Inst. for Comput. Sci. & Control, Budapest, Hungary
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    State-of-the-art gateways are connected to several distributed computing infrastructures (DCIs) and are able to run jobs and workflows simultaneously in all those different DCIs. However, the flexibility of accessing data storages belonging to different DCIs is a missing feature of current gateways. SZTAKI (Institute for Computer Science and Control) has developed a Data Avenue Blacktop service and aLiferay-based Data Avenue port let that open the door for integrating such features into science gateways. The paper explains the design considerations of the Data Avenue Blacktop service and its usage scenarios in science gateways through the Data Avenue port let.
  • Keywords
    data handling; distributed processing; DCI; Institute for Computer Science and Control; SZTAKI; WS-PGRADE/gUSE; aLiferay-based data avenue port; data avenue blacktop service; data storages; distributed computing infrastructures; remote storage resource management; Conferences; Logic gates; data handling; data storage systems; data transfer; grid computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science Gateways (IWSG), 2014 6th International Workshop on
  • Conference_Location
    Dublin
  • Type

    conf

  • DOI
    10.1109/IWSG.2014.7
  • Filename
    6882060