Hi all, I am planning to use historical archives of ganglia data for our cluster to document its utilisation history and guide our next upgrade.
I would like to understand the bytes_in and bytes_out metrics a bit better. Are they instantaneous, or average, measurements? Ie. say my gmond polling time is 5 seconds. If the following happens, with nothing else going on of significance: @ t = 0 second, gmond polls metrics (poll0) @ t = 1 second, 1Mbyte transferred in (effectively instantly) @ t = 3s, 5Mbyte transferred out (effectively instantly) @ t = 5s, gmond polls metrics (poll1) What is going to be stored in bytes_in and bytes_out for poll1? Will it be the *average* (integrated) throughput: bytes_in: 1Mbyte / 5s = 200kByte/s => bytes_in = 200000 bytes_out: 5Mbyte / 5s = 1000kBytes/s => bytes_out = 1000000 Or will it be the instantaneous throughput measured at the time of poll1, ie. both bytes_in and bytes_out = 0 because there is no instantaneous activity? Another way of asking the same question: is it valid to deduce long-term (aggregate) data transfer volumes from the rates expressed by bytes_in and bytes_out? Thanks very much in advance - David Barnes. ------------------------------------------------------------------------------ This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first _______________________________________________ Ganglia-general mailing list Ganglia-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/ganglia-general
