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» Co-Scheduling of Computation and Data on Computer Clusters
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DAGM
2008
Springer
13 years 8 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
CCGRID
2008
IEEE
14 years 1 months ago
GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
Huan Liu, Dan Orban
HPDC
2008
IEEE
14 years 1 months ago
DataLab: transactional data-parallel computing on an active storage cloud
Active storage clouds are an attractive platform for executing large data intensive workloads found in many fields of science. However, active storage presents new system managem...
Brandon Rich, Douglas Thain
CCGRID
2008
IEEE
14 years 1 months ago
Scalable Data Gathering for Real-Time Monitoring Systems on Distributed Computing
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
Yoshikazu Kamoshida, Kenjiro Taura
ISPDC
2005
IEEE
14 years 10 days ago
Collaborative Data Distribution with BitTorrent for Computational Desktop Grids
— Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content di...
Baohua Wei, Gilles Fedak, Franck Cappello