Memorias de investigación
Ponencias en congresos:
A Simulated Annealing Method to Cover Dynamic Load Balancing in Grid Environment
Año:2008
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
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).
Internacional
Si
Nombre congreso
DCAI 2008
Tipo de participación
960
Lugar del congreso
Salamanca
Revisores
Si
ISBN o ISSN
1615-3871
DOI
10.1007/978-3-540-85863-8_1
Fecha inicio congreso
22/10/2008
Fecha fin congreso
24/10/2008
Desde la página
1
Hasta la página
10
Título de las actas
International Symposium on Distributed Computing and Artificial Intelligence 2008
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software