PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid

Authors

  • 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

Keywords:

Enterprise Desktop Grid, computer productivity forecasting, prediction methods, grid scheduling systems, heuristic method

Abstract

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.

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Published

2015-02-10

How to Cite

Salinas, S. A., García Garino, C., & Zunino, A. (2015). PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid. Computing and Informatics, 33(4), 783–809. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/878

Issue

Vol. 33 No. 4 (2014): Computing and Informatics

Section

Articles