Linked by Thom Holwerda on Sat 9th Feb 2013 02:04 UTC, submitted by ac
Linux "Both of these articles allude to the fact that I'm working on putting the D-Bus protocol into the kernel, in order to help achieve these larger goals of proper IPC for applications. And I'd like to confirm that yes, this is true, but it's not going to be D-Bus like you know it today. Our goal (and I use 'goal' in a very rough term, I have 8 pages of scribbled notes describing what we want to try to implement here), is to provide a reliable multicast and point-to-point messaging system for the kernel, that will work quickly and securely. On top of this kernel feature, we will try to provide a 'libdbus' interface that allows existing D-Bus users to work without ever knowing the D-Bus daemon was replaced on their system."
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RE[3]: Finally!
by Alfman on Sun 10th Feb 2013 01:08 UTC in reply to "RE[2]: Finally!"
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"Quite a common mistake. Comparing async performance to performance of Apache. Those don't highlight the differences in scalability of non-blocking IO, but demonstrate that Apache is big."

In the past I've done the socket benchmarks myself, apache was just an example, feel free to substitute whatever example you like. Blocking socket IO implies using either multi-process or multi-threaded models, I hope that we can agree that the forking multi-process model is the least scalable.

There's nothing wrong with the multi-threaded blocking model, I don't critisize anyone for using it. However it does imply more memory/cpu overhead than the non-blocking model due to each client using it's own stack and the requirement of synchronization primitives that are usually unnecessary with the async model. Additionally the multithreaded solution does not increase concurrency over an asynchronous solution when the number of async handlers equals the number of cores, so right there you've got all the ingredients for async to come out ahead.

Mind you I think the difference is negligible when the number of concurrent users is low, but async really shines with many concurrent connections (10K+).

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