[rrd-users] calculate traffic in Mbytes

[Andras Horvai]

Hi,

I have rrds (see the rrdtool info output bellow) and I would like to calculate  the in and out
traffic in Mbytes and not in Mbits/sec. Is this possible or should i measure in an other way, then how? 
So I want to see the transferred (in/out) traffic in Mbytes on an interface and I need yearly archive and
I need to calculate statistics quarterly.

Thanks for your help,

Andras

the rrdtool info output:


$ rrdtool info router.rrd  
filename = router.rrd
rrd_version = "0001"
step = 300
last_update = 1084272609
ds[traffic_in].type = "COUNTER"
ds[traffic_in].minimal_heartbeat = 600
ds[traffic_in].min = 0.0000000000e+00
ds[traffic_in].max = 1.0000000000e+08
ds[traffic_in].last_ds = "2943923303"
ds[traffic_in].value = 6.2528496000e+06
ds[traffic_in].unknown_sec = 0
ds[traffic_out].type = "COUNTER"
ds[traffic_out].minimal_heartbeat = 600
ds[traffic_out].min = 0.0000000000e+00
ds[traffic_out].max = 1.0000000000e+08
ds[traffic_out].last_ds = "2448181183"
ds[traffic_out].value = 6.2628456000e+05
ds[traffic_out].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 600
rra[0].pdp_per_row = 1
rra[0].xff = 5.0000000000e-01
rra[0].cdp_prep[0].value = NaN
rra[0].cdp_prep[0].unknown_datapoints = 0
rra[0].cdp_prep[1].value = NaN
rra[0].cdp_prep[1].unknown_datapoints = 0
rra[1].cf = "AVERAGE"
rra[1].rows = 700
rra[1].pdp_per_row = 6
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = 2.9427239604e+06
rra[1].cdp_prep[0].unknown_datapoints = 0
rra[1].cdp_prep[1].value = 3.6702595890e+05
rra[1].cdp_prep[1].unknown_datapoints = 0
rra[2].cf = "AVERAGE"
rra[2].rows = 775
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = 7.0978865009e+06
rra[2].cdp_prep[0].unknown_datapoints = 0
rra[2].cdp_prep[1].value = 9.5850832237e+05
rra[2].cdp_prep[1].unknown_datapoints = 0
rra[3].cf = "AVERAGE"
rra[3].rows = 797
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = 5.9744180053e+07
rra[3].cdp_prep[0].unknown_datapoints = 0
rra[3].cdp_prep[1].value = 9.3627717244e+06
rra[3].cdp_prep[1].unknown_datapoints = 0
rra[4].cf = "MAX"
rra[4].rows = 600
rra[4].pdp_per_row = 1
rra[4].xff = 5.0000000000e-01
rra[4].cdp_prep[0].value = NaN
rra[4].cdp_prep[0].unknown_datapoints = 0
rra[4].cdp_prep[1].value = NaN
rra[4].cdp_prep[1].unknown_datapoints = 0
rra[5].cf = "MAX"
rra[5].rows = 700
rra[5].pdp_per_row = 6
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = 8.0018809965e+05
rra[5].cdp_prep[0].unknown_datapoints = 0
rra[5].cdp_prep[1].value = 1.2104871306e+05
rra[5].cdp_prep[1].unknown_datapoints = 0
rra[6].cf = "MAX"
rra[6].rows = 775
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = 8.0018809965e+05
rra[6].cdp_prep[0].unknown_datapoints = 0
rra[6].cdp_prep[1].value = 1.2104871306e+05
rra[6].cdp_prep[1].unknown_datapoints = 0
rra[7].cf = "MAX"
rra[7].rows = 797
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = 9.1582168900e+05
rra[7].cdp_prep[0].unknown_datapoints = 0
rra[7].cdp_prep[1].value = 1.3806225780e+05
rra[7].cdp_prep[1].unknown_datapoints = 0


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