The MapReduce scheduler (not shown in the diagram) tries to run each mapper on one of the machines that stores a replica of the input file, provided that machine has enough spare RAM and CPU resources to run the map task [26]. This principle is known as putting the computation near the data [27]: it saves copying the input file over the network, reducing network load and increasing locality.
So the nodes serve double duty as storage nodes and compute nodes?
