A Simulated Annealing Method to Cover Dynamic Load Balancing in Grid Environment

Paletta, Mauricio and Herrero Martín, María del Pilar (2009). A Simulated Annealing Method to Cover Dynamic Load Balancing in Grid Environment. In: "International Symposium on Distributed Computing and Artificial Intelligence 2008, DCAI´08", 22/10/2008-24/10/2008, Salamanca, España. ISBN 9783540858621. https://doi.org/10.1007/978-3-540-85863-8_1.

Description

Title: A Simulated Annealing Method to Cover Dynamic Load Balancing in Grid Environment
Author/s:
  • Paletta, Mauricio
  • Herrero Martín, María del Pilar
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Symposium on Distributed Computing and Artificial Intelligence 2008, DCAI´08
Event Dates: 22/10/2008-24/10/2008
Event Location: Salamanca, España
Title of Book: Proceedings of International Symposium on Distributed Computing and Artificial Intelligence 2008, DCAI´08
Date: 2009
ISBN: 9783540858621
Subjects:
Freetext Keywords: Grid Computing, load-balancing, Simulated Annealing.
Faculty: Facultad de Informática (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

High-performance scheduling is critical to the achievement of application performance on the computational grid. New scheduling algorithms are in demand for addressing new concerns arising in the grid environment. One of the main phases of scheduling on a grid is related to the load balancing problem therefore having a high-performance method to deal with the load balancing problem is essential to obtain a satisfactory high-performance scheduling. This paper presents SAGE, a new high-performance method to cover the dynamic load balancing problem by means of a simulated annealing algorithm. Even though this problem has been addressed with several different approaches only one of these methods is related with simulated annealing algorithm. Preliminary results show that SAGE not only makes it possible to find a good solution to the problem (effectiveness) but also in a reasonable amount of time (efficiency).

More information

Item ID: 4389
DC Identifier: http://oa.upm.es/4389/
OAI Identifier: oai:oa.upm.es:4389
DOI: 10.1007/978-3-540-85863-8_1
Official URL: http://dcai.usal.es/
Deposited by: Memoria Investigacion
Deposited on: 29 Sep 2010 08:36
Last Modified: 20 Apr 2016 13:38
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