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The relative overhead becomes insignificant as the database latency increases.
As a consequence, our calculations of the relative overhead often represent the absolute worst case.
As shown, the relative overhead percentages are substantially smaller in comparison to the single node.
The proposed method has a lower relative overhead and requires a lower number of inputs and outputs.
In other words, the relative overhead introduced by ONDMs is insignificant, when data needs to be searched for on-disk.
In this paper we do both, characterizing the types of domains that offer performance differentiation and the features that distinguish the relative overhead of three planning algorithms.
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The study shows similar relative overheads despite using a different database technology as the baseline for comparison.
Their ratio is denoted as the relative communication overhead.
Benchmark GnuWin32 shows that the relative performance overhead of our approach is only between 3.47% and 8.59%.
In Figure 4a, the curves show that the relative communication overhead increases smoothly as the percentage of malicious nodes increases.
This is because the relative bandwidth overhead due to the RAK and ACK frame transmissions increases as the user payload size decreases.
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