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GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 9 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
139
Voted
HPDC
2007
IEEE
15 years 9 months ago
MOB: zero-configuration high-throughput multicasting for grid applications
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
Mathijs den Burger, Thilo Kielmann
143
Voted
ICAC
2007
IEEE
15 years 9 months ago
Exploiting Platform Heterogeneity for Power Efficient Data Centers
It has recently become clear that power management is of critical importance in modern enterprise computing environments. The traditional drive for higher performance has influenc...
Ripal Nathuji, Canturk Isci, Eugene Gorbatov
ICASSP
2009
IEEE
15 years 9 months ago
Optimized opportunistic multicast scheduling (OMS) over heterogeneous cellular networks
Optimized opportunistic multicast scheduling (OMS) has been studied previously by the authors for homogeneous cellular networks, where the problem of efficiently transmitting a co...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
151
Voted
CCGRID
2009
IEEE
15 years 9 months ago
Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing
In large-scale clusters and computational grids, component failures become norms instead of exceptions. Failure occurrence as well as its impact on system performance and operatio...
Song Fu
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