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capture basic performance data from jobs #283
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@levinas For the input data size, is this measured in bytes or in number of reads ? For the time, I suppose this can be captured by the Python code, using the elapsed time between the For assembly/recipe, this is obviously already available in the Python code. Is this a string ? For memory usage: GNU time and tstime can report peak memory usage and other related metrics, but I don't know if they capture the information concerning the children of the main process. |
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Can we grab the PID from the subprocesses and poll memory usage? Not sure if this is the best way. |
Can we implement something like a conditional pull for the compute nodes? If the data set is small, for example, the control node can tag it "small", and it could be consumed by a regular VM with 24GB memory. This is what Chris envisioned in the original architectural diagram. |
Yes, I'll have to double check, but the idea is that nodes can subscribe to On Wed Feb 11 2015 at 9:08:51 PM Fangfang Xia notifications@github.com
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In the callback method in consume.py, the json payload is received. Does the tag need to be specified in channel.basic_consume ? |
Minimally a four-tuple for each assembly job:
This data will be used to prepare for regular worker nodes devoted to small jobs.
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