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Regarding execution time cost, HoG method executes in around 100 ms per cache and benchmark on average (in comparison to 1.5 h for ReVS method).
Statistics regarding execution time are collected and analyzed.
However, regarding execution time, we must consider that we want to provide responsive interaction, and therefore, we expect fast execution time (preferably in the order of 100 ms).
However, a side-channel adversary is able to gather statistics from the CPU regarding execution and may be able to use them to deduce characteristics of the software being executed and the data being processed (side-channel analysis).
However, regarding execution time and precision metrics, it was not possible to obtain statistical evidences, with significance level equal or higher than 95%, to state that their values are different.
Despite our attempt to assign similar amount of system resources to each distributed processing engine and due to the fact that each one offers a handful of configuration settings regarding execution, memory allocation, and job scheduling behavior, the performance of the different implementations may differ from the optimal one.
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