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» Resource Allocation in the Grid Using Reinforcement Learning
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FGCS
2007
99views more  FGCS 2007»
15 years 5 months ago
Mining performance data for metascheduling decision support in the Grid
: Metaschedulers in the Grid needs dynamic information to support their scheduling decisions. Job response time on computing resources, for instance, is such a performance metric. ...
Hui Li, David L. Groep, Lex Wolters
ISCA
2010
IEEE
163views Hardware» more  ISCA 2010»
15 years 11 months ago
WiDGET: Wisconsin decoupled grid execution tiles
The recent paradigm shift to multi-core systems results in high system throughput within a specified power budget. However, future systems still require good single thread perfor...
Yasuko Watanabe, John D. Davis, David A. Wood
JSSPP
2005
Springer
15 years 11 months ago
Enhancing Security of Real-Time Applications on Grids Through Dynamic Scheduling
Real-time applications with security requirements are emerging in various areas including government, education, and business. The security sensitive real-time applications can ta...
Tao Xie 0004, Xiao Qin
ICIP
2003
IEEE
16 years 7 months ago
Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
John K. Doulamis, Anastasios D. Doulamis
CEC
2010
IEEE
15 years 26 days ago
Multi-objective robust static mapping of independent tasks on grids
We study the problem of efficiently allocating incoming independent tasks onto the resources of a Grid system. Typically, it is assumed that the estimated time to compute each task...
Bernabé Dorronsoro Díaz, Pascal Bouv...