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G-Hadoop is an extension of the Hadoop MapReduce framework with the functionality of allowing the MapReduce tasks to run on multiple clusters.
However, when the number of UEs per macro sector is high (e.g., larger than six), the probability of a user being scheduled on multiple clusters decreases, therefore the gain brought by dual-cluster scheduling decreases.
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Parallel applications run as separate instances on multiple cluster members.
The second type of propagation study uses striated Auroral Kilometric Radiation (SAKR) bursts, observed on multiple Cluster satellites, as tracers of ion solitary waves in the upward current region.
However, the distribution in the execution profile remains nearly the same when run on multiple cluster nodes.
The effect of (heterogeneous) nucleation on the growth of multiple clusters is analyzed.
In γ/ε-fc mice, the absence of activity-dependent dispersal allows formation of multiple clusters on individual myofibers.
This means one EST can belong to multiple clusters, and relies on anchor sequences (genomic or cDNA) to ensure that ESTs generated from different regions of the same gene are clustered together.
Cluster structure ensemble focuses on integrating multiple cluster structures extracted from different datasets into a unified cluster structure, instead of aligning the individual labels from the clustering solutions derived from multiple homogenous datasets in the cluster ensemble framework.
In Section 3, we analyze the block sparsity embodied by the multiple clusters, and on this basis, the more competitive cluster sparsity-based compressed sensing algorithm for the channel estimations of 60 GHz millimeter-wave is developed.
One can partition proteins in the PPI network into multiple clusters based on the connectivity.
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