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GRID
2006
Springer
13 years 8 months ago
Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Frederic Desprez, Antoine Vernois
FGCS
2007
160views more  FGCS 2007»
13 years 8 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
HPDC
2010
IEEE
13 years 9 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
GCA
2009
13 years 6 months ago
A Learning Approach to Mechanism Design in Grid Resource Allocation
In this article a new algorithm for grid resource allocation based upon the theory of Algorithmic Mechanism Design (AMD) is presented. This algorithm is targeted at minimizing cost...
Mahmoud Moravej, Saeed Parsa