Sentence examples for map task and from inspiring English sources

In addition, iMapReduce assigns every map task and its corresponding reduce task to the same node to avoid network communication overhead.

A mapper opens a TCP socket to listen for incoming connections whenever it has finished a map task and its output is available.

However, in block 3, the Map task and the shuffled baseline were not significantly different (F (1, 427.758) = 2.375, p > 0.05), while all other task comparisons in block 3 were significantly different (p values < 0.001, F values > 34.187).

Since several map tasks can read entities in parallel and process them, the reduce adds one more load balancing level between the map task and the reduce task for the purpose of decreasing the overload on these tasks.

The lack of a difference in the number of clusters for the map task and the other Touch of Evil conditions makes sense, because as the overall clustering lessens, there are going to be fewer groupings of gaze that are identified as a cluster.

After taking this file as an input, it will create the map task and compute the result for each query in single virtual partition and pass this result to the reduce task with subject sequence id, query sequence id and calculated score.

Each job contains two kinds of tasks: map tasks and reduce tasks.

As each reduce task will have the inputs from multiple map tasks, this data flow between map tasks and reduce tasks is called "the shuffle".

iMapReduce [23] improves the performance of iterative computations by eliminating the shuffle of static data, allowing asynchronous execution of map tasks, and making map/reduce tasks persistent.

This algorithm (Algorithm 2) is used for all map tasks, and determines the optimal nodes for all map tasks belonging to one application.

As we have discussed before, there are two types of tasks involved in a MapReduce job: the map tasks and the reduce tasks.