| Measurement |
Description |
Measurement
Unit |
Interpretation |
| Installed_proc_units |
The number of processing units installed on the pSeries server |
Number |
  |
| Avail_proc_units |
The number of free processing units on the pSeries server |
Number |
Typically, a large number of free processing units implies that more logical partitions can be configured on the server. If the value of this measure is very low, it could mean that almost all the CPU resources have been allocated to the LPAR guests. You can use the detailed diagnosis of the Used_proc_units measure to accurately identify the LPAR that has been allocated the maximum CPU.
|
| Used_proc_units |
The total number of processing units allocated to the LPAR guests on the pSeries server |
Number |
If the value of this measure is very high or is close to the value of the Installed_proc_units measure, it could mean that almost all the CPU resources of the host have been allocated to the LPAR guests. In this case, you can use the detailed diagnosis of this measure to understand how many processing units have been allocated to each LPAR, and thus accurately identify the LPAR that has been allocated the maximum CPU.
|
| Utilize_proc_units |
The percentage of physical CPU resources allocated to the LPAR guests |
Percent |
If the value of this measure is very high or is close to 100%, it could mean that almost all the CPU resources of the host have been allocated to the LPAR guests. In this case, you can use the detailed diagnosis of this measure to understand how many processing units have been allocated to each LPAR, and thus accurately identify the LPAR that has been allocated the maximum CPU.
|
| Tot_cpu_consumed |
The total number of allocated processing units used by LPAR guests |
Number |
The detailed diagnosis of this measure reports the number of physical processors consumed by each LPAR guest on the pSeries server. In the event of a CPU contention, you can use this information to accurately identify the LPAR which is consuming the maximum CPU.
|
| Cpu_utilize_allocation |
The percentage of allocated CPU utilized by the LPAR guests |
Percent |
A high value for this measure could indicate that one/more LPARs have resource-intensive processes executing on them.
|
| Physical_proc_utilize |
The percentage of physical CPU resources utilized by the LPAR guests |
Percent |
A high value for this measure could indicate that one/more LPARs are over-utilizing the physical CPU resources.
|
| Tot_phy_processors |
Indicates the total number of physical processors installed on the pSeries server. |
Number |
 
|
| Dedicated_proc |
The total number of dedicated processors used by the LPAR guests |
Number |
A dedicated processor partition has an entire processor that is assigned to a partition. These processors are owned by the partition where they are running and are not shared with other partitions. Also, the amount of processing capacity on the partition is limited by the total processing capacity of the number of processors configured in that partition, and it cannot go over this capacity (unless you add or move more processors from another partition to the partition that is using a dynamic LPAR operation).
|
| Shared_processors |
The total number of shared processing units used by the LPAR guests |
Number |
A partition that has its processors virtualized from a pool of shared physical processors is a shared processor partition. When the processors are in the shared processing pool, an uncapped partition that needs more processing power can use the idle processing resources in the pool.
|