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However, after a certain buffer size, the achieved throughput is not affected by increasing buffer size.
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But the effect of increasing buffer size from 1 up to 2, 4 or ∞ decreases drastically for all instances.
In order to simulate a fading channel, We suppose thalsocarrier frequency f c = 2 GHz, and seeed of user v = 50 Km/h, and that max Dopplenergyquency offset = 92.6 Hz.
With increasing buffer size above 3000 m, all buffers include a large area of the wetland and differences between case- and non-case homesteads diminish to non-significance.
The decrease with increasing buffer sizes is more smooth for bandwidths lower than 1 Mbps.
For the crude odds ratios, increasing odds ratios were observed with increasing buffer sizes.
We also observe from Fig. 15 that the average system throughput for all strategies is improved by increasing the buffer size.
In our case, we arbitrarily selected the larger spatial scales (40-, 80-, 120-, 160-, and 200-m radii) by increasing the buffer size by 40 m without considering potential among-scale differences in mean or variation of the selected habitat metrics.
The reason is that increasing the buffer size decreases the queue overflow probabilities.
Obviously, increasing the buffer size reduces the batch loss probability as well as customer loss probability as Fig. 5 shows.
On Live Journal dataset, we continuously increased the buffer size until the whole dataset was hold in main memory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com