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<p>ISPs sometimes offer more performance when a customer is doing a
load test than any other time. The authors of this paper use a
machine-learning model to detect "fake" bandwidth using 20 days of
logs.</p>
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<p><small class="site" style="font-weight:lighter;"><a class="moz-txt-link-abbreviated" href="http://www.researchgate.net">www.researchgate.net</a></small></p>
<p> <a href="#"
style="font-weight:600; text-decoration:none;"><big
class="title">(PDF) Optimisation of Network Logs for
Fake Bandwidth Classification using CNN</big></a> </p>
<p class="description">PDF | The goal of this study is to
enhance the classification accuracy of fake bandwidth using
a CNN model, leveraging network logs collected in... | Find,
read and cite all the research you need on ResearchGate</p>
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href="https://www.researchgate.net/publication/392480826_Optimisation_of_Network_Logs_for_Fake_Bandwidth_Classification_using_CNN"
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style="display:inline-block; text-decoration:none; text-indent:-2ch; margin-inline:2ch;"
title="www.researchgate.net">🔗
https://www.researchgate.net/publication/392480826_Optimisation_of_Network_Logs_for_Fake_Bandwidth_Classification_using_CNN</a>
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<p>Â The work also looks at the possibility of using the "real"
bandwidth to guide allocation and keep the QoS high</p>
<p>--dave<br>
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<p></p>
<pre class="moz-signature" cols="72">--
David Collier-Brown, | Always do right. This will gratify
System Programmer and Author | some people and astonish the rest
<a class="moz-txt-link-abbreviated" href="mailto:davecb@spamcop.net">davecb@spamcop.net</a> | -- Mark Twain</pre>
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