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Editorial Team
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Asked: 2026-05-23T13:15:15+00:00

I am looking to create a client/server application that I can use to slit

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I am looking to create a client/server application that I can use to slit network packets in half, tunnel each half of the packet over a separate udp connection (because each udp connection will be going over a different wifi link) and then reassemble the split packets on the other end. In addition to splitting the packets each half packet will also have to have an ID and sequence number so that they can be reassembled properly.

Basically I am trying to do something similar to MLPPP

I am looking to do this using python and the TUN/TAP network driver.
I have found the following python code samples and modules that I think might be helpful for this project.

Python tun/tap

Python raw packet manipulation

My question is can the necessary packet modification be done using python and what would be a possible way to approach this? Can I use the modules above to do this or is there a better solution? I am looking for some input that will steer me in the right direction as I am not an experienced programmer. Any code samples or additional links are welcome.

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1 Answer

  1. Editorial Team

    We are doing something like this in production and it works quite well. We don’t split individual packets though. We set fractional weights for each connection (unlimited) and send the packets out. We have some code in place to deal with different latencies on each line. On the other end we buffer them and reorder. Performance is pretty good – we have sites with 5+ ADSL lines and get good speeds, 40+ Mbps on the download.

    Splitting packets (eg 1500/2 = 750) would introduce unnecessary overhead… keep your packets as big as possible.

    We have developed our own protocol (header format) for the UDP packets. We have done loopback testing on the tun/tap up to 200 Mbps, so definitely the kernel to user space interaction works well. Previously we used NFQUEUE but that had reliability issues.

    All of the above was written in Python.

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