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2. Mausezahn - Wikipedia

   en.wikipedia.org/wiki/Mausezahn

   Mausezahn (German pronunciation: [ˈmaʊ̯zəˌʦaːn], German for "mouse tooth") is a fast network traffic generator written in C which allows the user to craft nearly every possible and "impossible" packet. Since version 0.31 Mausezahn is open source in terms of the GPLv2.

3. Vegeta (software) - Wikipedia

   en.wikipedia.org/wiki/Vegeta_(software)

   Vegeta is an HTTP load testing tool written in Go that can be used as a command in a command-line interface or as a library. [4] The program tests how an HTTP-based application behaves when multiple users access it at the same time [4] by generating a background load of GET requests. [5]

4. Traffic generation model - Wikipedia

   en.wikipedia.org/wiki/Traffic_generation_model

   For example, an HTTP traffic generator simulates the download of a web-page, consisting of a number of small objects (like images). A TCP stream (that's why TCP generator is a must in this model) is used to download these objects according to HTTP1.0 or HTTP1.1 specifications. These models take into account the details of these protocols' work.

5. Packet generator - Wikipedia

   en.wikipedia.org/wiki/Packet_generator

   A packet generator or packet builder is a type of software that generates random packets or allows the user to construct detailed custom packets. Depending on the network medium and operating system, packet generators utilize raw sockets , NDIS function calls, or direct access to the network adapter kernel-mode driver .

6. Network emulation - Wikipedia

   en.wikipedia.org/wiki/Network_emulation

   The network performance under maximum throughput conditions can be analyzed by network traffic measurement in a testbed network, using a network traffic generator such as iperf. The traffic generator sends dummy packets, often with a unique packet identifier, making it possible to keep track of the packet delivery in the network using a network ...

7. Network traffic simulation - Wikipedia

   en.wikipedia.org/wiki/Network_traffic_simulation

   When making use of pseudo-random numbers the analyst must make certain that the true randomness of the numbers is checked. If the numbers are found not to behave in a sufficiently random fashion, another generation technique must be found. Random numbers for the simulation are created by a random number generator.