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Formal Methods in Computing
(Most of the papers antecedent to 1995
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assist:juxmem:IW:06 (In proceedings)
Author(s) Marco Aldinucci, Gabriel Antoniu, Marco Danelutto and Mathieu Jan
Title« Fault-Tolerant Data Sharing for High-level Grid Programming: A Hierarchical Storage Architecture »
InProc. of the Integrated Research in Grid Computing Workshop
SeriesCoreGRID
Editor(s) Marian Bubak, Sergei Gorlatch and Thierry Priol
Page(s)177-188
Year2006
PublisherAcademic Computing Centre CYFRONET AGH
AddressKraków, Poland
URLhttp://calvados.di.unipi.it/storage/paper_files/2006_IW_juxadhocmem.pdf
Abstract & Keywords
Enabling high-level programming models on grids is today a major challenge. A way to achieve this goal relies on the use of environments able to transparently and automatically provide adequate support for low-level, grid-specific issues (fault-tolerance, scalability, etc.). This paper discusses the above approach when applied to grid data management. As a case study, we propose a 2-tier software architecture that supports transparent, fault-tolerant, grid-level data sharing in the ASSIST programming environment (University of Pisa), based on the JuxMem grid data sharing service (INRIA Rennes).

Keywords: Duplicate

BibTeX code

@inproceedings{assist:juxmem:IW:06,
  month = oct,
  author = {Marco Aldinucci and Gabriel Antoniu and Marco Danelutto and Mathieu
            Jan},
  series = {CoreGRID},
  optannote = {ISBN: 83-9115141-6-1},
  keywords = {Duplicate},
  booktitle = {Proc. of the Integrated Research in Grid Computing Workshop},
  editor = {Marian Bubak and Sergei Gorlatch and Thierry Priol},
  url = {http://calvados.di.unipi.it/storage/paper_files/2006_IW_juxadhocmem.pdf},
  title = {Fault-Tolerant Data Sharing for High-level Grid Programming: A
           Hierarchical Storage Architecture},
  abstract = {Enabling high-level programming models on grids is today a major
              challenge. A way to achieve this goal relies on the use of
              environments able to transparently and automatically provide
              adequate support for low-level, grid-specific issues
              (fault-tolerance, scalability, etc.). This paper discusses the
              above approach when applied to grid data management. As a case
              study, we propose a 2-tier software architecture that supports
              transparent, fault-tolerant, grid-level data sharing in the ASSIST
              programming environment (University of Pisa), based on the JuxMem
              grid data sharing service (INRIA Rennes).},
  address = {Krak{\'o}w, Poland},
  publisher = {Academic Computing Centre {CYFRONET AGH}},
  year = {2006},
  pages = {177-188},
}


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Formal Methods in Computing
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