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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.
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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).
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.
Firstly, decreasing execution times is completed by the zero-entry's set in weighting matrices.
Parallel implementation can greatly decrease execution times for almost all mappers.
It can be seen that the most significant improvement in use of the DSP-based camera for capturing is faster capture and transfer time, while the algorithm running on the DSP-based camera significantly decreases the execution time of the extraction algorithm.
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.
In this paper, it was shown theoretically and experimentally through two case studies that the initial condition plays an essential role in decreasing the execution time.
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