| assist:pepa:IW_book:06 (In a collection)
|
| Author(s) | Marco Aldinucci and Anne Benoit |
| Title | « Towards the Automatic Mapping of ASSIST Applications for the Grid » |
| In | Integrated Research in Grid Computing |
| Series | CoreGRID |
| Editor(s) | Sergei Gorlatch and Marco Danelutto |
| Page(s) | 73-87 |
| Year | 2007 |
| Publisher | Springer |
| ISBN number | 978-0-387-47656-8 |
| URL | http://calvados.di.unipi.it/storage/paper_files/2006_IW_book_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. |
@incollection{assist:pepa:IW_book:06,
owner = {aldinuc},
author = {Marco Aldinucci and Anne Benoit},
series = {CoreGRID},
booktitle = {Integrated Research in Grid Computing},
timestamp = {2006.06.28},
editor = {Sergei Gorlatch and Marco Danelutto},
url = {http://calvados.di.unipi.it/storage/paper_files/2006_IW_book_pepa.pdf},
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.},
isbn = {978-0-387-47656-8},
publisher = {Springer},
year = {2007},
pages = {73-87},
}
This document was generated by bib2html 3.3.
(Modified by Luca Paolini, under the GNU General Public License)
