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| From | paul.hermeneutic@gmail.com |
| Newsgroups | comp.lang.python |
| Subject | Re: Daemon strategy |
| Date | Fri, 5 Feb 2016 12:36:14 -0700 |
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| References | <CAJ4+4apHhfYBw33xVsG_dFbf9iEGfiiimh0mHCq=LGo0d96yWg@mail.gmail.com> <85d1sb9eh7.fsf@benfinney.id.au> |
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On Fri, Feb 5, 2016 at 11:52 AM, Ben Finney <ben+python@benfinney.id.au> wrote: > paul.hermeneutic@gmail.com writes: > >> It appears that python-deamon would be exactly what I need. Alas, >> appears not to run on Windows. If I am wrong about that, please tell >> me. > > You're correct that ‘python-daemon’ uses Unix facilities to create a > well-behaved Unix daemon process. > > Since MS Windows lacks those facilities, ‘python-daemon’ can't use them. As you might imagine, I am not always able to specify which OS is deployed. That does not mean that I am not responsible for getting the work done. Perhaps you will tell me that what I want is not a daemon. BTW, I thought that pip would know that python-daemon would not run on my machine, but it had no complaints installing it. That gave me unmerited hope. I want to create a program that will run a list of command lines. Some of the tasks might take 42 milliseconds, but others might take 4.2 hours. I need to be able to: - list the tasks currently being run - kill a task that is currently being run - list the tasks that are not yet run - delete a task not yet run from the list - add tasks to the list The goal is to load the machine up to a specified percentage of CPU/memory/io bandwidth. I want to keep the machine loaded up to 90% of capacity. It is important to monitor more than just CPU utilization because the machine may already be over-committed on memory while CPU utilization is low. Adding more processes in such an environment just makes the system go slower. I realize that high-end schedulers like IBM/Tivoli, CA7, and BMC might do things like that. Those are not usually within budget. Is a daemon what I need? Any other suggestions?
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Re: Daemon strategy paul.hermeneutic@gmail.com - 2016-02-05 12:36 -0700
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