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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
SC
2003
ACM
14 years 24 days ago
Job Superscheduler Architecture and Performance in Computational Grid Environments
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
Hongzhang Shan, Leonid Oliker, Rupak Biswas
CONCURRENCY
2006
148views more  CONCURRENCY 2006»
13 years 7 months ago
An adaptive parallel query processing middleware for the Grid
vices provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a grid environment. In this scenario, applications, like sc...
Vinícius F. V. da Silva, Márcio L. D...
PC
2012
228views Management» more  PC 2012»
12 years 3 months ago
DAGuE: A generic distributed DAG engine for High Performance Computing
— The frenetic development of the current architectures places a strain on the current state-of-the-art programming environments. Harnessing the full potential of such architectu...
George Bosilca, Aurelien Bouteiller, Anthony Danal...
WIOPT
2005
IEEE
14 years 1 months ago
A New Hybrid Scheduling Framework for Asymmetric Wireless Environments with Request Repetition
Abstract— The ever-increasing popularity of web services, growing demand for wireless multimedia and introduction of new, feature-enhanced, hand-held devices has already given bi...
Navrati Saxena, Maria Cristina Pinotti, Kalyan Bas...