Quote from: Sukrim on August 01, 2011, 03:54:40 PM

2 more features off the top of my head:

* Google app engine compatibility
* Hash offloading to a GPU (I have no idea if that is a major bottleneck of your program though) - I recently read something about doing SSL calculations on a GPU, getwork verifications etc. should also be an easy task.

I looked at google app engine but it has a couple of gotcha's.

- Time per request: max 30 sec

Which effectively rules out longpolling.

- Memory cap 128MB.

Depends on how hard you are running it but if you run a large pool you may find this restrictive. A smallish pool will comfortably run in about 50mb but once you start scaling you are consuming memory two ways, first is caching work. Second is mapping work delivered to workers for current block and last block. I can't actually remember why I did this, it was partly to ensure no duplicate work but there was one other reason.

Another option for scalable hosting would be Amazon elastic beanstalk. It would require some refactoring to strip out the embedded server and turn it into a fully compliant webapp, I think it's backend is Jetty (have to double check), if it that's good because poolserverj uses some of jettys advanced features (which are outside the servlet spec) to avoid thread saturation and handle long polling. If there's a reasonable demand then I'll look into doing it.

Interesting idea about the GPU calc but I wonder if in this scenario it would really yield much benefit? Under a mining scenario the overhead of translating the text to a byte array, sending to GPU and starting calculation happens once then the gpu does many billions of calcs. In this scenario that overhead would be incurred and the GPU would do a single calculation. The text-byte array conversion happens anyway I suppose but I still wonder whether the net gain would be comparable to overheard? I'm not a GPU programmer so it's hard to say.