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@@ -80,15 +80,37 @@ by various algorithms minimizing the waste of material.
 
 \subsection{1D : Networking}
 
-on which humans
-have decreasing control.
+When managing network traffic at scale, efficiently routing packets is
+necessary to avoid congestion, which leads to lower bandwidth and higher
+latency. Say you're a internet service provider and your users are watching
+videos on popular streaming platforms. You want to ensure that the traffic is
+balanced between the different routes to minimize throttling and energy
+consumption.
 
-In this paper, we will focus on one-dimensional bin packing, where we try to
-store items of different heights in a linear container.
+\paragraph{} We can consider the different routes as bins and the users'
+bandwidth as the items. If a bin overflows, we can redirect the traffic to
+another route. Using less bins means less energy consumption and decreased
+operating costs. This is a good example of bin packing in a dynamic
+environment, where the items are constantly changing. Humans are not involved
+in the process, as it is fast-paced and requires a high level of automation.
 
+\vspace{0.4cm}
+
+\paragraph{} We have seen multiple examples of how bin packing algorithms can
+be used in various technical fields. In these examples, a choice was made,
+evaluating the process effectiveness and reliability, based on a probabilistic
+analysis allowing the adaptation of the algorithm to the use case. We will now
+conduct our own analysis and study various algorithms and their probabilistic
+advantages, focusing on one-dimensional bin packing, where we try to store
+items of different heights in a linear bin.
 
 \section{Next Fit Bin Packing algorithm}
 
+\paragraph{} Each bin will have a fixed capacity of $ 1 $ and items and items
+will be of random sizes between $ 0 $ and $ 1 $. We will run X simulations % TODO
+with 10 packets.
+
+
 \cite{hofri:1987}
 % TODO mettre de l'Histoire