Hi Everybody, We are trying to develop an Scheduler in Python to distribute processes in a Mesos cluster.
I have close to 800 CPUs, but the system does not assign all the available resources to all our tasks. In order to test, we are defining: 1 CPU, 1Gbyte RAM per process in order all the process fits on our machines. And launch several scripts simultaneous in order to have Nprocs > Ncpus (close 900 tasks in total). Our script is based on the test_framework.py example included in the Mesos src distribution, with changes like if the list of tasks to launch is empty, send an decline message. We have deployed Mesos 1.1.0. Any ideas in order the improvement the use of our resources? Thx in advance! Harold Molina-Bulla Ph.D. -- /"En una época de mentira universal, decir la verdad constituye un acto revolucionario”/ George Orwell (1984) Recuerda: PRISM te está vigilando!!! X) *Harold Molina-Bulla* Clave GnuPG: *189D5144*
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