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FGCS
2007
160views more  FGCS 2007»
13 years 7 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
CLUSTER
2006
IEEE
14 years 1 months ago
Stochastic Scheduling with Availability Constraints in Heterogeneous Clusters
High availability plays an important role in heterogeneous clusters, where processors operate at different speeds and are not continuously available for processing. Existing sched...
Tao Xie 0004, Xiao Qin
CLOUDCOM
2010
Springer
13 years 5 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
IPPS
2003
IEEE
14 years 1 months ago
Parallel Heterogeneous Genetic Algorithms for Continuous Optimization
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) known as gradual distributed real-coded GA (GD-RCGA). This search model naturally...
Enrique Alba, Francisco Luna, Antonio J. Nebro
INFOSCALE
2006
ACM
14 years 1 months ago
Scheduling divisible loads in the dynamic heterogeneous grid environment
According to the special features of the dynamic heterogeneous grid environment, a loose-coupled and scalable resource model is described by a hybrid multi-level tree reflecting a...
Tao Zhu, Yongwei Wu, Guangwen Yang