Collaborative Map-Reduce In the Browser
igrigorik writes "The generality and simplicity of Google's Map-Reduce is what makes it such a powerful tool. However, what if instead of using proprietary protocols we could crowd-source the CPU power of millions of users online every day? Javascript is the most widely deployed language — every browser can run it — and we could use it to push the job to the client. Then, all we would need is a browser and an HTTP server to power our self-assembling supercomputer (proof of concept + code). Imagine if all it took to join a compute job was to open a URL."
Two comments:
1. He places the map/emit/reduce functions in the page itself. This is unnecessary. Since Javascript can easily be passed around in text form, the packet that initializes the job can pass a map/emit/reduce function to run. e.g.:
In fact, the entire architecture would work more smoothly using AJAX with either JSON or XML rather than passing the data around as HTML content. As a bonus, new types of jobs can be injected into the compute cluster at any time.
2. Both Gears and HTML5 have background threads for this sort of thing. Since abusing the primary thread tends to lock the browser, it's much better to make use of one of these facilities whenever possible. Especially since multithreading appears to be well supported by the next batch of browser releases.
(As an aside, I realize this is just a proof of concept. I'm merely adding my 2 cents worth on a realistic implementation. ;-))
Javascript + Nintendo DSi = DSiCade
With ever-increasing JavaScript performance, there's a lot of cpu power available for cracking passwords and captcha's... Just include the code in an ad and you're done. No tricky installs needed, just the idletime of the user's web browser.
Sir, I have the '80s on hold on the phone at the moment. They want to know if you want to by some stuff called .. umm .. hang on .. yes here it is .. "static HTML pages" ..
I am Slashdot. Are you Slashdot as well?
Javascript really isn't suited for this kind of thing, even with worker threads, for two reasons I can think of. First, web clients are transient... they'd have to report back often in case the user clicks away.
But more importantly, Javascript just isn't a good language for massive computation. It only supports one kind of number (double), has no vectorization or multicore capabilities, has no unboxed arrays, and even for basically scalar code is some 40x slower than C, let alone optimized ASM compute kernels. (This is for crypto on Google Chrome. Other browsers are considerably slower on this benchmark. YMMV.)
I hereby place the above post in the public domain.
for those like myself that had no idea what MapReduce was:
http://en.wikipedia.org/wiki/MapReduce
Oh, please, make the MapReduce fanboyism stop.
Yes, it's a neat technique. It's also very old and obvious. Google's implementation is also good, but this stuff is just not rocket surgery. It's just a simple pattern of how to massively parallelize some types of computational tasks.
But somehow, just because some dudes at Google wrote a paper about it, it's become the second coming of Alan Turing or something among some silly folks. Hell, a couple of weeks ago somebody was saying on the comments here that MapReduce was a good alternative to relational databases. Now that is silly.
Are you adequate?