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» Clustering Distributed Time Series in Sensor Networks
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ISPDC
2007
IEEE
14 years 3 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
RAID
2009
Springer
14 years 3 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
IPPS
2008
IEEE
14 years 3 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri
MOBIWAC
2009
ACM
14 years 1 months ago
Adaptive, direction-aware data dissemination for diverse sensor mobility
We consider sensor networks where the sensor nodes are attached on entities that move in a highly dynamic, heterogeneous manner. To capture this mobility diversity we introduce a ...
Azzedine Boukerche, Dionysios Efstathiou, Sotiris ...
CLUSTER
2008
IEEE
14 years 3 months ago
Reliable adaptable Network RAM
Abstract—We present reliability solutions for adaptable Network RAM systems running on general-purpose clusters. Network RAM allows nodes with over-committed memory to swap pages...
Tia Newhall, Daniel Amato, Alexandr Pshenichkin