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In Map step, the Master node splits a problem into number of sub-problems, each for one slave node.
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Output stage: storage of full path The MRA* job submitted from the master node is split into mappers and reducers that run respectively in the map and reduce stages.
Master manager (to work as the master node).
Master connecter (for connecting a client node to the master node).
A master node also routes the data from the other master nodes in the surrounding grids.
All files stored in HDFS are split into blocks which are replicated and distributed across different slave nodes on the cluster known as data nodes, with a master node, called the name node, maintaining metadata e.g. blocks comprising a file, where in the cluster these blocks are located and so on.
Task requester (for requesting computing service from the master node).
The master node M then transmits in timeslots until.
Server enabler (for activating the server of the master node).
Here, tDM represents the work delay of the master node.
The transmission from relays to the master node takes timeslots.
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