TY - GEN
T1 - PSO-based resource scheduling algorithm for parallel query processing on grids
AU - Pérez-Cebreros, Arturo
AU - Martinez-Luna, Gilberto
AU - Cruz-Cortés, Nareli
PY - 2009
Y1 - 2009
N2 - The accelerated development in Grid computing has positioned it as promising next generation computing platforms. Grid computing contains resource management, task scheduling, security problems, information management and so on. In the context of database query processing, existing parallelisation techniques can not operate well in Grid environments, because the way they select machines and allocate queries. This is due to the geographic distribution of resources that are owned by different organizations. The resource owners have different usage or access policies, cost models, varying loads and availability. It is a big challenge for efficient scheduling algorithm design and implementation. In this paper, a heuristic approach based on particle swarm optimization algorithm is adopted to solving parallel query scheduling problem in grid environment.
AB - The accelerated development in Grid computing has positioned it as promising next generation computing platforms. Grid computing contains resource management, task scheduling, security problems, information management and so on. In the context of database query processing, existing parallelisation techniques can not operate well in Grid environments, because the way they select machines and allocate queries. This is due to the geographic distribution of resources that are owned by different organizations. The resource owners have different usage or access policies, cost models, varying loads and availability. It is a big challenge for efficient scheduling algorithm design and implementation. In this paper, a heuristic approach based on particle swarm optimization algorithm is adopted to solving parallel query scheduling problem in grid environment.
KW - Database
KW - Genetic algorithms
KW - Grid
KW - Particle swarm optimization
KW - Query scheduler
UR - http://www.scopus.com/inward/record.url?scp=74549199858&partnerID=8YFLogxK
U2 - 10.5220/0001986901310137
DO - 10.5220/0001986901310137
M3 - Contribución a la conferencia
AN - SCOPUS:74549199858
SN - 9789898111845
T3 - ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings
SP - 131
EP - 137
BT - ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings
PB - INSTICC Press
T2 - ICEIS 2009 - 11th International Conference on Enterprise Information Systems
Y2 - 6 May 2009 through 10 May 2009
ER -