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On the first level, the algorithm selects a video with smaller popularity (lower number of active2 clients) as a victim.
Mathematically, g is defined based on the Lorenz curve, which plots, in our context, the proportion of popularity differences (y axis) that is cumulatively expressed by the x% of subcategories with smaller popularity differences, as shown by Figure 7.
Secondly, once the video of smaller popularity has been chosen, CCVC selects the sequence closer to the end of the video for disposal since in this way (according to the view of the CCVC authors) the proxy needs to employ its resources for a shorter time to recover back the removed content with the main server to serve the clients who are moving toward the video sequence removed from memory.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com