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A Simulated Annealing Method to Cover Dynamic Load Balancing in Grid Environment
Citation
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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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 |
