Sun Management Center agents add a minimal computational load on the host system. The computational load is caused by normal management operations, including periodic data acquisition, alarm rule processing, alarm annunciation, alarm action execution, and the processing of client requests.
The amount of load introduced is proportional to the rate at which data is gathered, the amount of data gathered, the number of alarms detected, and the number of user requests. The percentage of CPU resources consumed therefore depends on the number and type of modules loaded on the system, the configuration of these modules, and the computational capacity of the host system.
Even on low-end machines with a comprehensive suite of modules loaded and high management activity, the agent should never consume more than a fraction of the CPU resources.
The following table gives estimates of the agent CPU and RAM usage by system type and includes information for the x86 agent.
Table C–1 Agent CPU and RAM Use Estimates by System Type
|
CPU Usage |
RAM Usage |
|
|
|
|
---|---|---|---|---|---|---|
Server Type |
Heavy or Light Configuration |
Maximum |
Minimum |
Average |
Average Size |
Average Resident Size |
Sun Blade 100 |
Light |
0.10% |
0.00% |
0.21% |
8.77 Mbytes |
7.02 Mbytes |
Sun Fire 280R |
Light |
0.10% |
0.00% |
0.10% |
10.47 Mbytes |
8.49 Mbytes |
Sun Blade 2000 |
Light |
0.20% |
0.00% |
0.05% |
8.89 Mbytes |
7.06 Mbytes |
Sun Fire 880 |
Light |
0.00% |
0.00% |
0.00% |
8.97 Mbytes |
7.31 Mbytes |
Sun Blade 100 |
Heavy |
1.20% |
0.50% |
0.79% |
14.83 Mbytes |
12.99 Mbytes |
Sun Fire 280R |
Heavy |
2.60% |
0.10% |
0.81% |
16.22 Mbytes |
13.92 Mbytes |
Sun Blade 2000 |
Heavy |
0.30% |
0.20% |
0.20% |
14.45 Mbytes |
12.76 Mbytes |
Sun Fire 880 |
Heavy |
4.40% |
0.10% |
0.88% |
16.15 Mbytes |
14.41 Mbytes |
Light configurations are based on an agent with the following modules loaded:
Kernel-Reader Simple
Agent Statistics
MIB-II Simple
The heavy configuration is based on an agent with the following modules loaded:
The heavy configuration is likely to be greater than needed. Larger machines typically have larger hardware configurations with more processors and disks. These configurations result in greater memory consumption by agents running on larger machines.