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We begin by measuring application turnaround.
We begin by measuring application turnaround on all experiments.
Application turnaround was decreased in 50%, mostly due to the reduce execution speedup.
We evaluated GiGi-MR by measuring the application turnaround and server network traffic while running three different MapReduce applications.
This means that VMR-NH always presents an application turnaround time below VCS, but larger than VMR.
Note that, as mentioned in the previous section, VMR has a much lower application turnaround than VCS.
We separate the map and reduce steps to identify their respective weight in regards to the overall application turnaround time.
However, a higher replication factor in the reduce step (VCS-30R3) improves the overall application turnaround time.
Note that, as mentioned in the previous section, GiGi-MR has a much lower application turnaround than VCS.
We measure application turnaround, while differentiating between map and reduce stages in order to pinpoint potential bottlenecks and areas that would benefit most from improvement.
In addition, the transfer of map outputs and corresponding execution of the reduce tasks takes up most of the MapReduce application turnaround time.
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