Hard disk drive workload statistics, Hard disk drive workload statistics -11 – Hitachi MK-96RD617-08 User Manual
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About Performance Manager Options
2-11
Hitachi Universal Storage Platform V/VM Hitachi Performance Manager User’s Guide
Hard Disk Drive Workload Statistics
If particular hard disk drives or data are heavily accessed, system performance
might deteriorate. Performance Monitor lets you view statistics about parity 
groups and logical devices to help you detect bottlenecks in your system. If 
you mapped volumes in an external storage system, Performance Monitor can 
also monitor the access workloads of the external volume groups and the 
external volumes. Performance Monitor displays a line graph indicating 
changes in access workloads, so that you can detect the peak I/O access 
times.
You will be unable to view workload statistics that expired a specific storing 
period because such statistics are erased from the storage system. The storing 
period of statistics is only short range (between 8 hours to 15 days) and that 
changes depending on the collecting interval and the number of CUs to be 
monitored specified by the user. For details on the storing period of statistics, 
see Understanding Statistical Storage Ranges. 
Workload information mainly displayed by Performance Monitor is as follows:
•
I/O rate 
The I/O rate indicates how many I/Os are made to the hard disk drive in 
one second. If the I/O rate is high, the hosts might consume a lot of time 
for accessing disks and the response time might be long. 
•
Transfer rate 
The transfer rate indicates the size of data transferred to the hard disk 
drive in one second. If the transfer rate is high, the hosts might consume a
lot of time for accessing disks and the response time might be long.
•
The read hit ratio 
For a read I/O, when the requested data is already in cache, the operation 
is classified as a read hit. For example, if ten read requests have been 
made from hosts to devices in a given time period and the read data was 
already on the cache memory three times out of ten, the read hit ratio for 
that time period is 30 percent. A higher read hit ratio implies higher 
processing speed because fewer data transfers are made between devices 
and the cache memory. 
•
The write hit ratio 
For a write I/O, when the requested data is already in cache, the operation 
is classified as a write hit. For example, if ten write requests were made
from hosts to devices in a given time period and the write data was already 
on the cache memory three cases out of ten, the write hit ratio for that 
time period is 30 percent. A higher write hit ratio implies higher processing 
speed because fewer data transfers are made between devices and the 
cache memory. 
