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» Troubleshooting Distributed Systems via Data Mining
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CLOUDCOM
2010
Springer
13 years 7 months ago
Attaching Cloud Storage to a Campus Grid Using Parrot, Chirp, and Hadoop
The Hadoop filesystem is a large scale distributed filesystem used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with dataintensive ...
Patrick Donnelly, Peter Bui, Douglas Thain
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 4 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
ISPAN
2005
IEEE
14 years 3 months ago
An Efficient MPI-IO for Noncontiguous Data Access over InfiniBand
Noncontiguous data access is a very common access pattern in many scientific applications. Using POSIX I/O to access many pieces of noncontiguous data segments will generate a lot...
Ding-Yong Hong, Ching-Wen You, Yeh-Ching Chung
GRID
2006
Springer
13 years 9 months ago
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Yuya Machida, Shin'ichiro Takizawa, Hidemoto Nakad...
CIKM
2006
Springer
14 years 1 months ago
Resource-aware kernel density estimators over streaming data
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Christoph Heinz, Bernhard Seeger