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Data usage when folding?

post #1 of 13
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Could someone give me an idea of how much data you burn through when folding?

I used to fold when we lived in the city and had cable internet. A little over a year and a half ago we moved out to BFE and only have 3G internet with monthly data caps and I never tested it out afterward.

If anyone has ever monitored this little bit of info I'd love to hear it!
     
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post #2 of 13
Very little data. The only you get is when it downloads a WU and when it submits it. Even then I doubt there is much data sent back and fourth.
post #3 of 13
Judging by my internet speed (6/768k ADSL) and my log file, I would estimate each GPU3 WU to be less than 1MB on initial DL of WU and ~2MB for the uploaded results. I do 15-17WUs/day between 2 GPUs going 24/7 so it can add up fast for say a 5GB 3G cap.

I don't run the CPU client so no estimates there.
 
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post #4 of 13
Can't give you specific figures but the bandwidth usage we are talking about is minimal... Well under 50MB a day unless you have a ton of clients running.
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post #5 of 13
Downloading them is quite small. Uploading the finished unit is a tad bigger. The normal smaller SMP A3 WU's are about 10-12MB when sent. The bigger 67xx are about double that. Bigadv WU's are upwards of 50MB each way I think. Overall it is a very small amount unless you are running a ton of clients on multiple machines.
post #6 of 13
Yeah unless you have a folding farm it will depend on your contributions per day. You're looking at around 100MB all in for the big one's, and 10-15MB for SMP's. Even if you just fold a couple of units a day due to bandwidth, they all count.
post #7 of 13
if you plan on folding bigadv on that 1055, the wu's can be up to 55 100mb, regular smp folding is around 20 (also, in the smp console client, you can specify the size of the packets you want to download:

Code:
Acceptable size of work assignment and work result packets <bigger units may have large memory demands> -- 'small' is <5MB, 'normal' is <10MB, and 'big' is >10MB <small/normal/big> [normal]? big
gpu3 wu's are ~2.5MB and my gtx460's can do ~8-9/day = ~20MB to upload

it really adds up on limited bandwidth

edit: from my HFM log files:

gpu3 p6806:
Code:
[20:59:07] - Writing 2670826 bytes of core data to disk...
[20:59:08] Done: 2670314 -> 2512310 (compressed to 94.0 percent)
[20:59:08]   ... Done.
[20:59:08] DeleteFrameFiles: successfully deleted file=work/wudata_08.ckp
[20:59:08] Shutting down core 
[20:59:08] 
[20:59:08] Folding@home Core Shutdown: FINISHED_UNIT
2 512 310 bytes = 2.39592552 megabytes

smp a3 p6023:
Code:
[20:32:42] - Writing 20420619 bytes of core data to disk...
[20:32:43]   ... Done.
[20:32:45] - Shutting down core
[20:32:45] 
[20:32:45] Folding@home Core Shutdown: FINISHED_UNIT
20 420 619 bytes = 19.4746199 megabytes

-bigadv a3 p6900:
Code:
[18:17:00] - Files status OK
[18:17:07] - Expanded 24868213 -> 30796293 (decompressed 123.8 percent)
[18:17:07] Called DecompressByteArray: compressed_data_size=24868213 data_size=30796293, decompressed_data_size=30796293 diff=0
[18:17:07] - Digital signature verified
[18:17:07] 
[18:17:07] Project: 6900 (Run 13, Clone 4, Gen 8)
(incomplete 6900) 30 796 293 bytes = 29.3696337 megabytes (i don't have a logfile on a finished bigadv since i restarted my pc) but a complete one is about 55, iirc 100

edit #2: multiply those numbers by 2 (for download/upload) - im completing roughly 9 gpu wu/day x 2.32mb = 21.5 x 2 (dl, then ul) = 43mb/day total bandwidth used/gpu3 client

i complete 1 bigadv unit ~every 2 days 0.45 bigadv wu/day x 100mb = 45 x 2 (dl,ul) = 90 mb/day
Edited by eloverton2 - 12/17/10 at 5:40pm
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post #8 of 13
Quote:
Originally Posted by eloverton2 View Post
(incomplete 6900) 30 796 293 bytes = 29.3696337 megabytes (i don't have a logfile on a finished bigadv since i restarted my pc) but a complete one is about 55, iirc
here is a bigadv I completed recently:

Code:
[05:38:18] Leaving Run
[05:38:22] - Writing 95915748 bytes of core data to disk...
[05:38:23]   ... Done.
[05:38:37] - Shutting down core
[05:38:37] 
[05:38:37] Folding@home Core Shutdown: FINISHED_UNIT
[05:38:43] CoreStatus = 64 (100)
[05:38:43] Sending work to server
[05:38:43] Project: 2692 (Run 1, Clone 27, Gen 52)
They are close to 100MB.

So the OP might want to stay away from those. Besides using a lot of data, it would take forever to upload.
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post #9 of 13
So what is your cap and are you using the internet constantly for other things?
HFM tells you how many work units you do per day on each client you can multiply that by the number of mb it may be.

Quote:
Originally Posted by k4m1k4z3 View Post
So the OP might want to stay away from those. Besides using a lot of data, it would take forever to upload.
Takes around 30-40mins on my 3g.
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post #10 of 13
Quote:
Originally Posted by k4m1k4z3 View Post
here is a bigadv I completed recently:

Code:
[05:38:18] Leaving Run
[05:38:22] - Writing 95915748 bytes of core data to disk...
[05:38:23]   ... Done.
[05:38:37] - Shutting down core
[05:38:37] 
[05:38:37] Folding@home Core Shutdown: FINISHED_UNIT
[05:38:43] CoreStatus = 64 (100)
[05:38:43] Sending work to server
[05:38:43] Project: 2692 (Run 1, Clone 27, Gen 52)
They are close to 100MB.

So the OP might want to stay away from those. Besides using a lot of data, it would take forever to upload.
yeah, i just realized that and came back here to post the numbers i just finished:

Code:
[22:19:51] - Writing 100145354 bytes of core data to disk...
[22:19:51]   ... Done.
[22:19:52] - Shutting down core
[22:19:52] 
[22:19:52] Folding@home Core Shutdown: FINISHED_UNIT
[22:19:55] CoreStatus = 64 (100)
[22:19:55] Sending work to server
[22:19:55] Project: 6900 (Run 13, Clone 4, Gen 8)
100 145 354 bytes = 95.506052 megabytes

thanks for the correction, k4m1k4z3. lilchris is right it all depends on your 3g isp and what your caps are. i'd imagine if you downloaded small projects with a 1055 that you'd complete those relatively quickly and still be uploading and downloading, however you could probably download small projects AND limit you smp to like smp 2 or 3, only use half your processor, find a balance to stay under your cap and still fold.
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