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Figure 3 Scenario 1: ETX as a function of cache size for PER = 0.2.
The ETX for PER =0.2 is depicted in Figure 3, as a function of cache size in the black nodes.
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The results show that network resource saving is a function of cache size at the edge of the network.
Figure 7e shows the cache hits as a function of the cache size.
Moreover, the cache hit rate increases logarithmically as a function of the cache size [12].
Figure 7a shows the mean number of received documents as a function of the cache size.
Figure 7f represents the mean percentage of redirection hits as a function of the cache size.
Figure 7c depicts the mean delay as a function of the cache size.
Taking into account the mean traffic processed by the MNs as a function of the cache size, Figure 7b illustrates the same behaviour as the previous studies.
To address this question, we model how the byte hit rate of LRU grows as a function of the cache size in our experiments.
On the other hand, the delay obtained by MobEye and DPIP is about 100 or 150% greater than that of CLIR. Figure 7d illustrates the mean percentage of timeouts as a function of the cache size.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com