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assist:pepa:IW:05 (In proceedings)
Author(s) Marco Aldinucci and Anne Benoit
Title« Towards the Automatic Mapping of ASSIST Applications for the Grid »
InProc. of the Integrated Research in Grid Computing Workshop
Editor(s) Sergei Gorlatch and Marco Danelutto
VolumeTR-05-22
Page(s)59-68
Year2005
PublisherUniversità di Pisa, Dipartimento di Informatica
AddressPisa, Italy
URLhttp://calvados.di.unipi.it/storage/paper_files/2006_IW_pepa.pdf
Abstract
One of the most promising technical innovations in present day computing is the invention of grid technologies which harness the computational power of widely distributed collections of computers. However, the programming and optimisation burden of a low level approach to grid computing is clearly unacceptable for large scale, complex applications. The development of grid applications can be simplified by using high-level programming environments. In the present work, we address the problem of the mapping of a high-level grid application onto the computational resources. In order to optimise the mapping of the application, we propose to automatically generate performance models from the application using the process algebra PEPA. We target in this work applications written with the high-level environment ASSIST, since the use of such a structured environment allows us to automate the study of the application more effectively.

BibTeX code

@inproceedings{assist:pepa:IW:05,
  volume = {TR-05-22},
  month = nov,
  author = {Marco Aldinucci and Anne Benoit},
  booktitle = {Proc. of the Integrated Research in Grid Computing Workshop},
  editor = {Sergei Gorlatch and Marco Danelutto},
  url = {http://calvados.di.unipi.it/storage/paper_files/2006_IW_pepa.pdf},
  address = {Pisa, Italy},
  title = {Towards the Automatic Mapping of {ASSIST} Applications for the Grid},
  abstract = {One of the most promising technical innovations in present day
              computing is the invention of grid technologies which harness the
              computational power of widely distributed collections of
              computers. However, the programming and optimisation burden of a
              low level approach to grid computing is clearly unacceptable for
              large scale, complex applications. The development of grid
              applications can be simplified by using high-level programming
              environments. In the present work, we address the problem of the
              mapping of a high-level grid application onto the computational
              resources. In order to optimise the mapping of the application, we
              propose to automatically generate performance models from the
              application using the process algebra PEPA. We target in this work
              applications written with the high-level environment ASSIST, since
              the use of such a structured environment allows us to automate the
              study of the application more effectively.},
  publisher = {Universit{\`a} di Pisa, Dipartimento di Informatica},
  year = {2005},
  pages = {59-68},
}


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