Exact(38)
In the case of a server failure during the reduce step, VMR reducers are unaffected.
The overall GiGi-MR execution model for a MapReduce job is presented in Fig. 4. We consider two types of clients in GiGi-MR: mappers, which are responsible for bag-of-tasks in the map stage; and reducers, which perform the aggregation of all map output in the reduce step.
VMR's architecture consists of a central server, and clients which can assume two different roles: mappers, which are responsible for bag-of-tasks in the map stage; and reducers, which perform the aggregation of all map output in the reduce step.
The classification job did not include a reduce step.
However, both use only 2 replicas in the reduce step.
The reduce step aggregates the result of each job and returns the task result.
Similar(22)
Such methods are typically forced to reduce step-sizes as the discretization gets finer, and thus are expensive as a function of dimension.
Finally, the master returns control to the calling program once all reduce steps have successfully completed. .
Finally, the master returns control to the calling program once all reduce steps have successfully completed.
We separate the map and reduce steps to identify their respective weight in regards to the overall application turnaround time.
We separate the map and reduce steps in order to identify their respective weight in regards to the overall application turnaround time.
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