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137
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ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
15 years 10 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
141
Voted
SC
2004
ACM
15 years 9 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
134
Voted
USENIX
2000
15 years 5 months ago
Dynamic Function Placement for Data-Intensive Cluster Computing
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
121
Voted
DSN
2000
IEEE
15 years 8 months ago
Data Replication Strategies for Fault Tolerance and Availability on Commodity Clusters
Recent work has shown the advantages of using persistent memory for transaction processing. In particular, the Vista transaction system uses recoverable memory to avoid disk I/O, ...
Cristiana Amza, Alan L. Cox, Willy Zwaenepoel
125
Voted
ISPDC
2007
IEEE
15 years 10 months ago
Towards Data Partitioning for Parallel Computing on Three Interconnected Clusters
We present a new data partitioning strategy for parallel computing on three interconnected clusters. This partitioning has two advantages over existing partitionings. First it can...
Brett A. Becker, Alexey L. Lastovetsky