teletype-crdt VS samples

Cool! It'd be interesting to see those CRDT implementations added to Kevin Jahns' CRDT Benchmarks page[1]. The LogootSplit paper looks interesting. It looks like xray is abandoned, and I'm not sure about teletype. Though teletype's CRDT looks to be entirely implemented in javascript[2]? If the authors are around I'd love to see some benchmarks so we can compare approaches and learn what actually works well.

And I'm not surprised these techniques have been invented before. Realising a tree is an appropriate data structure here is a pretty obvious step if you have a mind for data structures.

To name it, I often find myself feeling defensive when people read my work and respond with a bunch of links to academic papers. Its probably totally unfair and a complete projection from my side, but I hear a voice in my head reword your comment to instead say something awful like: "Cool, but everything you did was done before. Even if they didn't make any of their work practical, usable or good they still published first and you obviously didn't do a good enough literature review if you didn't know that." And I feel an unfair defensiveness arise in me as a result that wants to find excuses to dismiss the work, even if the work might be otherwise interesting.

Its hard to compare their benchmark results because they used synthetic randomized editing traces, which always have different performance profiles than real edits for this stuff. Their own university gathered some great real world data in an earlier study. It would have been much more instructive if that data set was used here. At a glance their RAM usage looks to be about 2 orders of magnitude worse than diamond-types or yjs. And their CPU usage... ?? I can't tell because they have no tables of results. Just some hard to read charts with log scales, so you can't even really eyeball the figures. So its really hard to tell if their work ends up performance-competitive without spending a couple days getting their enterprise style java code running with a better data set. Do you think thats worth doing?

[1] https://github.com/dmonad/crdt-benchmarks

[2] https://github.com/atom/teletype-crdt

1) crdt

I record video from a webcam using MediaRecorder 100ms segments in the way described here. When the piece is ready, I send it using socket.io to the server (on a node.js 6.3.0 server). The server writes this piece to the database and gives it to everyone else on the socket. It is known for sure that the correct data is coming to the server, I can save any piece and start the video (then I glue them together and get the recording). The problem is that when the data is returned back to the client, it is invalid.

WebRTC: https://webrtc.github.io/samples/

Demos are often snapshots in time, created to showcase an aspect of technology. They are typically small, self-contained, and single-purpose. Demonstrative projects can range from the practical stress-testing of a particular feature to creative, wacky ways to use them. Examples include WebRTC samples and the Dependabot Demo.

This repo includes all the tutorials that are on https://webrtc.github.io/samples/. The aim of the project is to convert all the sample code to a Svelte app.

Here's a few samples. The video chat example will be very useful to you.

Code: https://github.com/webrtc/samples/blob/gh-pages/src/content/peerconnection/multiple/js/main.js

Here's the actual documentation for WebRTC from Google, and a bunch of examples: https://webrtc.github.io/samples/

WebRTC Samples