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PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
CLUSTER
2008
IEEE
15 years 4 months ago
Gather-arrange-scatter: Node-level request reordering for parallel file systems on multi-core clusters
—Multiple processors or multi-core CPUs are now in common, and the number of processes running concurrently is increasing in a cluster. Each process issues contiguous I/O request...
Kazuki Ohta, Hiroya Matsuba, Yutaka Ishikawa
MOBIQUITOUS
2007
IEEE
15 years 4 months ago
Towards Scalable and Robust Service Discovery in Ubiquitous Computing Environments via Multi-hop Clustering
Abstract— Large-scale ubiquitous computing environments require scalable and robust service discovery to enable “anytime, anywhere” computing, which is hard to be satisfied ...
Wei Gao
HPDC
2003
IEEE
15 years 3 months ago
Dynamic Virtual Clusters in a Grid Site Manager
This paper presents new mechanisms for dynamic resource management in a cluster manager called Clusteron-Demand (COD). COD allocates servers from a common pool to multiple virtual...
Jeffrey S. Chase, David E. Irwin, Laura E. Grit, J...
IPTPS
2003
Springer
15 years 3 months ago
Sloppy Hashing and Self-Organizing Clusters
We are building Coral, a peer-to-peer content distribution system. Coral creates self-organizing clusters of nodes that fetch information from each other to avoid communicating wi...
Michael J. Freedman, David Mazières