• DocumentCode
    3549393
  • Title

    Experiences on a large scale grid deployment with a computationally intensive biomedical application

  • Author

    Alonso, J.M. ; Hernández, V. ; Moltó, G.

  • Author_Institution
    Dept. de Sistemas Inf. y Comput., Univ. Politecnica de Valencia, Spain
  • fYear
    2005
  • fDate
    23-24 June 2005
  • Firstpage
    567
  • Lastpage
    569
  • Abstract
    With the recent advent of Grid Computing technologies, resource-starved applications can greatly benefit from the power that the Grid aims to deliver. In this paper, we focus on the application of Grid Computing to a biomedical computationally intensive application that simulates the electrical activity on cardiac tissues. A user level tool, called GMarte, was developed to simplify the usage of Grid facilities for the execution of scientific applications on distributed deployments. A cardiac case study has been executed, via GMarte, on the largest distributed Grid deployment available in Europe (the EGEE testbed) in order to assess the benefits of Grid Computing. The usage of a Grid infrastructure has dramatically reduced the time required to execute the case study, thus increasing research productivity.
  • Keywords
    bioelectric phenomena; biological tissues; cardiology; grid computing; medical computing; middleware; GMarte; Grid computing technology; biomedical computation; cardiac tissues; electrical activity; resource-starved application; user level tool; Biomedical computing; Computational modeling; Computer applications; Europe; Grid computing; Java; Large-scale systems; Medical simulation; Middleware; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2355-2
  • Type

    conf

  • DOI
    10.1109/CBMS.2005.52
  • Filename
    1467753