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POrealtime communication with ruby
 

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    <p>I'm about to write a game server with ruby. One feature of the game includes player walking around &amp; others should be able to see it.</p> <p>I've already written a pure socket demo using event machine. But since most of the communication are going to be http-based, so I'm looking for some http polling solution. And of course I could write it with event machine, but is there any gem out there for this kind of job already?</p> <p>I've tried something like faye, but most of these are for a messaging system, like subscribing &amp; publish to a channel, I seem not to be able to control what clients I should push to. In my case I need to be able to push to specific clients, like one guy moves from 10,10 to 20,20, only those around him (maybe from 0,0 to 30,30, but not a guy at 40,50) need to receive the message.</p> <p>------------pregress with cramp</p> <p>Here's a quick update. I'm working on cramp, with 5000 connections, and 100 client move each second, the CPU usage is almost 100%. When I double both figures, the CPU usage is still 100% or so, and the response is very slow.</p> <p>Clearly I'm not using every resource I had, instead there's only one CPU core occupied. Need more work on it.</p> <p>------------Node.js's turn</p> <p>@aam1r Actually Node.js is doing better than cramp. With 5000 connections and 100 client moving per seoncd, the Cpu usage is over 60%. When I doubled to 10000 connections and 200 client moving per second, the CPU usage is 100% and response is becoming slow. Same problem here, either cramp or Node.js can only use one cpu core per process. That's a problem. </p> <p>------------What about JRuby?</p> <p>Because of the presence of <a href="http://en.wikipedia.org/wiki/Global_Interpreter_Lock" rel="nofollow">GIL</a>, there's no true multi-thread simultanious execution with Ruby MRI. None with Node.js either.So I'm going to give JRuby a try.</p> <ul> <li><p>When a client moves, use another thread to find all the other clients need to notify(which is a CPU-heavy work). Then push the result to a channel.</p></li> <li><p>The main thread simply subscribes the channel. When it gets the result, push them to the clients.</p></li> </ul> <p>Need some time to write a demo though.</p>
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