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» Resource Allocation in the Grid Using Reinforcement Learning
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FGCS
2007
99views more  FGCS 2007»
13 years 7 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»
14 years 21 days 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
14 years 1 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
14 years 9 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
13 years 2 months 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...