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CISIM
2008
IEEE
14 years 1 months ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...
IPPS
2007
IEEE
14 years 1 months ago
A Parallel Hybrid Method of GMRES on GRID System
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
Ye Zhang, Guy Bergére, Serge G. Petiton
CCGRID
2008
IEEE
14 years 1 months ago
Adaptive Hybrid Model for Long Term Load Prediction in Computational Grid
Long term load prediction can assist task scheduling and load balancing greatly in distributed environment such as computational grid. Due to the dynamic property of grid environm...
Yulai Yuan, Yongwei Wu, Guangwen Yang, Weimin Zhen...
CLUSTER
2003
IEEE
14 years 7 days ago
A General Self-Adaptive Task Scheduling System for Non-Dedicated Heterogeneous Computing
— The efforts to construct a national scale Grid computing environment have brought unprecedented computing capacity and complicacy. Exploiting this complex infrastructure requir...
Ming Wu, Xian-He Sun
GRID
2004
Springer
14 years 9 days ago
Hybrid Preemptive Scheduling of MPI Applications on the Grids
— Time sharing between all the users of a Grid is a major issue in cluster and Grid integration. Classical Grid architecture involves a higher level scheduler which submits non o...
Aurelien Bouteiller, Hinde-Lilia Bouziane, Thomas ...