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I have implemented a High rate scheduler with APS ( Advanced Python Scheduler ) for Masonite.
The main features are:
Parallel job execution
Load / Unload job from DB
Dynamic code loading ( no watchdog necessary )
Now i have tested the scheduler making a global ping with several jobs.
The result are that on:
Intel I9 up to 1.2k jobs ( 20/s )
Raspberry pi quadcore 512mb ram, 120 jobs ( 2/s )
Graph explaination:
The Scheduler time is the time wich the main job execute itself ( i have setted it at 1s )
Occurency minute are how much times the main job are execute in one minute.
Occurency hour is the same time of above but in one hour
The request are the number of jobs in execution
The response count are the ping success / minute
The response times are the ping's success time
The result of the two graph indicates the stability of the scheduler even if the database is not on the same machine ( is in LAN with a little latency: 10/100ms~).
The objective is allow to masonite to monitor many devices as much as possible, dependant from host.
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Hi,
I have implemented a High rate scheduler with APS ( Advanced Python Scheduler ) for Masonite.
The main features are:
Now i have tested the scheduler making a global ping with several jobs.
The result are that on:
Graph explaination:
The result of the two graph indicates the stability of the scheduler even if the database is not on the same machine ( is in LAN with a little latency: 10/100ms~).
The objective is allow to masonite to monitor many devices as much as possible, dependant from host.
Project home is: Masonite moma (MOdulo MAcchina)
I hope someone is interested in collaborating or giving some advice.
Thanks
Alessio
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