Managing remote scheduler(s)
We developed the commandline module on a Windows system and tested it
by controlling scheduler engines running on MacOSX, Linux and Solaris.
You can manage remote scheduler(s) either by:
1. Using only the CLM
2. Using the CLM in combination with the user interface & Ftp
Managing Remote Systems using the CLM in combination with Local User
Interface & Ftp
The easiest way to setup or view data on
a remote system is via the user interface itself
on your local system. To prevent confusion, it helps to understand
and organize the data well on your local system to prevent confusion between
the programs data on your local system and the remote system.
1. The main install directory contains an 'data'
folder
2. All the data files are in this 'data' folder. The
user interface saves all your updates to data files in this folder.
3. Create new folders in the folder
called 'data_remote1' , 'data_remote2', 'data_remote3' etc..
for each remote system that you will control. In our case, we used
'data_mac', data_solaris', and data_linux'.
4. Create a new folder in the main install folder
called 'data_localhost' for your local system, if you also run tasks on your local system.
5. If the scheduler is also running tasks on your local system,
shut down the scheduler & shut down the user interface. Then
Backup (copy) all the data from the 'data' folder to 'data_localhost'
6. If you wish to view data from 'remote2', you can either copy
the data from 'data_remote2' to the 'data' folder or by
ftp directly FROM the 'data' folder on the 'remote2' system.
7. Launch the user interface to create
the tasks and schedules for 'remote2'
8. After you have modified the data for 'remote2', you can backup
the 'data' folder to 'data_remote2' and ftp directly
TO the 'data' folder on the remote system.
9. Then use the CLM module to STOP and then START the engine
on 'remote2'. This will force the engine to load the new data.
10. If the scheduler is also running tasks on your local system,
you can restore your local systems program data from
'data_localhost' to 'data'.