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» An Adaptive Approach to Data Placement
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CAMP
2005
IEEE
14 years 3 months ago
Reinforcement Learning for P2P Searching
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
Luca Gatani, Giuseppe Lo Re, Alfonso Urso, Salvato...
AHS
2007
IEEE
252views Hardware» more  AHS 2007»
14 years 4 months ago
A Hybrid Engine for the Placement of Domain-Specific Reconfigurable Arrays
Rapid-prototyping of commercial devices and the demanding requirements for flexible hardware in mobile applications have driven the raise of reconfigurable hardware. The adaptatio...
Wing On Fung, Tughrul Arslan, Sami Khawam
BMCBI
2010
142views more  BMCBI 2010»
13 years 10 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
ISVC
2007
Springer
14 years 4 months ago
Interactive Glyph Placement for Tensor Fields
Visualization of glyphs has a long history in medical imaging but gains much more power when the glyphs are properly placed to fill the screen. Glyph packing is often performed vi...
Mario Hlawitschka, Gerik Scheuermann, Bernd Hamann
ICWS
2007
IEEE
13 years 11 months ago
Capacity Management and Demand Prediction for Next Generation Data Centers
Advances in server, network, and storage virtualization are enabling the creation of resource pools of servers that permit multiple application workloads to share each server in t...
Daniel Gmach, Jerry Rolia, Ludmila Cherkasova, Alf...