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Using multi-/many-core architecture is the only way to decrease execution time.
(3) Finally, we prove MixHeter can greatly decrease execution time than capacity scheduler of Hadoop 2.7.3 and capacity scheduler with label-based scheduling up to 15%60%% in heterogeneous environments, especially in the condition of mixed workloads with different resource preferences.
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Parallel implementation can greatly decrease execution times for almost all mappers.
The use of GA decreases execution time of resource scheduling.
Given these results, it seems that adding processors to the system decreases execution time, which improves system performance.
Firstly, decreasing execution times is completed by the zero-entry's set in weighting matrices.
The -S option generally also decreases execution times, because a large number of unecessary computations are omitted (see (Izquierdo-Carrasco et al., 2011a) for performance details).
For example, in a Sort workload, we are able to decrease its execution time more than 600 s.
Application specific hardware platform for SENSE may dramatically increase the power efficiency of the system and can decrease the execution time to obtain MR images.
A navigation system that adapts to the environment can decrease the execution time without affecting the accuracy of the remote operation.
Furthermore, mainly to decrease the execution time, the propagation is terminated if the total path cost exceeds a certain boundary value T Γ.
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