An Enterprise Desktop Grid (EDG) is a low cost platform that gathers desktop computers spread over different institutions. This platform uses desktop computers idle time to run Grid applications. We argue that computers in these environments have a predictable productivity that affects a Grid application execution time. In this paper, we propose a system called PFS for computer productivity forecasting that improves Grid applications performance. We simulated 157.500 applications and compared the performance achieved by our proposal against two recent strategies. Our experiments show that a Grid scheduler based on PFS runs applications faster than schedulers based on other selection strategies.
@article{cai878,
author = {Sergio Ariel Salinas; ITIC Research Institute, Universidad Nacional de Cuyo, ECT, Padre Jorge Contreras 1300, M5500 Mendoza and Carlos Garc\'\i a Garino; ITIC Research Institute\&Facultad de Ingenier\'\i a, Universidad Nacional de Cuyo, Centro Universitario, M5500 Mendoza and Alejandro Zunino; CONICET - ISISTAN Research Institute, UNICEN University, Paraje Arroyo Seco, B7001BBO Tandil, Buenos Aires},
title = {PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid},
journal = {Computing and Informatics},
volume = {33},
number = {3},
year = {2015},
language = {en},
url = {http://dml.mathdoc.fr/item/cai878}
}
Sergio Ariel Salinas; ITIC Research Institute, Universidad Nacional de Cuyo, ECT, Padre Jorge Contreras 1300, M5500 Mendoza; Carlos García Garino; ITIC Research Institute&Facultad de Ingeniería, Universidad Nacional de Cuyo, Centro Universitario, M5500 Mendoza; Alejandro Zunino; CONICET - ISISTAN Research Institute, UNICEN University, Paraje Arroyo Seco, B7001BBO Tandil, Buenos Aires. PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid. Computing and Informatics, Tome 33 (2015) no. 3, . http://gdmltest.u-ga.fr/item/cai878/