Open joybi531 opened 3 years ago
Thanks for the question! I graduated and lost the access to MIT dropbox. Here are some traces I can dug out from my local machine. Not exactly sure if it's the same as the traces in the dropbox link.
If anyone has a copy of the traces, please let us know. We will upload the traces and use updated link accordingly. Thanks!
@hongzimao Thanks for the help. The traces data that you just shared works fine.
Hi, I am trying to reconstruct the traces used to train Pensieve from the FCC data, but I feel like I am missing a step.
I downloaded the raw data and ran the traces/fcc/load_webget_data.py script. However, this script returns a very different output than the cooked traces you shared above.
It only contains a single throughput line per row, and the throughputs do not match the data in the FCC traces.
For example, these are the first couple of lines for the trace trace_866_http---www.amazon.com
:
This is what is returned by the script in this repository:
1358237
1440783
1387260
1383838
1369546
...
And this is what is part of the archive you sent above:
0.0 1.41832
5.0 1.39856
10.0 1.47412
15.0 1.50672
20.0 1.484064
...
Can you help me figure out what I am missing? How can I get from the output of the script in the traces directory to the training data you shared?
Thank you very much in advance!
Hi, I am trying to reconstruct the traces used to train Pensieve from the FCC data, but I feel like I am missing a step.
I downloaded the raw data and ran the traces/fcc/load_webget_data.py script. However, this script returns a very different output than the cooked traces you shared above.
It only contains a single throughput line per row, and the throughputs do not match the data in the FCC traces.
For example, these are the first couple of lines for the trace
trace_866_http---www.amazon.com
:This is what is returned by the script in this repository:
1358237 1440783 1387260 1383838 1369546 ...
And this is what is part of the archive you sent above:
0.0 1.41832 5.0 1.39856 10.0 1.47412 15.0 1.50672 20.0 1.484064 ...
Can you help me figure out what I am missing? How can I get from the output of the script in the traces directory to the training data you shared?
Thank you very much in advance!
I think he used the functions in plot_cooked_bandwidth.py to calculate the time_all and bandwidth_all.
Hi, I was trying to run the simulation with the actual data used in the experiment. However, I couldn't find the train_sim_traces and test_sim_traces data at the given link to Dropbox. That might have been removed. Could anyone please provide me the data downloaded from the link that was mentioned in the repository?