• DocumentCode
    2174735
  • Title

    Analyzing Memory Requirements for Pervasive Grid Applications

  • Author

    Bertolli, Carlo ; Mencagli, Gabriele ; Vanneschi, Marco

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Pisa, Pisa, Italy
  • fYear
    2010
  • fDate
    17-19 Feb. 2010
  • Firstpage
    297
  • Lastpage
    301
  • Abstract
    Pervasive Grid Computing Platforms include centralized computing nodes (e. g. parallel servers) as well as decentralized and mobile devices. Pervasive Grid applications include data- and computing-intensive components which can be mapped also onto decentralized and mobile nodes. The effective and practical success of this mapping resides also in deriving proper configurations of applications which consider the limited memory capabilities of those resources. In this paper we target this issue by showing how we can study and configure the memory requirements of an Emergency Management application. We present our solutions by using the ASSISTANT programming model for Pervasive Grid applications.
  • Keywords
    grid computing; mobile computing; parallel processing; storage management; ASSISTANT programming model; analyzing memory requirements; centralized computing nodes; computing-intensive components; data-intensive components; decentralized devices; decentralized nodes; emergency management application; memory capability; mobile devices; mobile nodes; parallel servers; pervasive grid applications; pervasive grid computing platforms; Application software; Concurrent computing; Disaster management; Floods; Grid computing; Memory management; Mobile computing; Parallel programming; Pervasive computing; Skeleton; Memory Management; Parallel Language; Parallel Processing; Structured Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on
  • Conference_Location
    Pisa
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4244-5672-7
  • Electronic_ISBN
    1066-6192
  • Type

    conf

  • DOI
    10.1109/PDP.2010.71
  • Filename
    5452453