The interaction of simultaneously co-allocated jobs can often create contention in the network infrastructure of a dedicated computational grid. This contention can lead to degrad...
William M. Jones, Louis W. Pang, Walter B. Ligon I...
Abstract. Beowulf-class clusters use a diverse collection of queue management software, and interconnect technology, often causing inter-cluster operability issues. We present a Un...
Francis Tang, Ho Liang Yoong, Chua Ching Lian, Aru...
Abstract. The focus of this work is on techniques that promise to reduce the message delivery latency in message passing environments, incuding clusters of workstations or SMPs. We...
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...