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The Hadoop cluster is a special parallel computational cluster that includes a master node and several slave nodes.
The parallel CoMK-means clustering algorithm [33] uses MapReduce to distribute input data across several slave nodes by using an HDFS to overcome large dataset clustering instabilities.
This node starts the synchronization process, broadcasting a pair of messages to several slave nodes (usually nodes with low computing and memory capacity) in each synchronization round.
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Thus, the proposed method avoids the non-physical oscillations in the contact force, which are induced by the traditionally used faceted contact surfaces description, when slave nodes slide over several master segments.
AsterixDB cluster had one master, and multiple slave nodes.
The slave nodes store the perceived data with block.
Fig. 12 The Master and Slave Nodes data exchange scenario.
Changes are propagated from the master to the slave nodes.
Commercial systems usually adopt a master-slave (MS) clock distribution strategy building slave nodes with phase-locked loop (PLL) circuits.
In this context, mpAD4 is executed within a master-slave scheme in which node-0 is the master node and all other nodes are slave nodes.
The Master node coordinates the Slave nodes to get the workload done and the Slaves run the sub-workloads, Map and Reduce tasks, assigned by the Master node.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com