stressypy
uses the unix package stress
to stress a certain number of cpus for a certain amount
of time, as specified by the user. It creates JobBlock
objects which contain pertinent information for using these
stress loads to test queueing algorithms.
The JobBlock class is used to store any function and its cpu width and time height.
- n_cpu: number of cpus being stressed
- t_run: the time it will take to run the job
- func: the function the block is storing
- func_args: the arguments for the function the block is storing
- job: a combination of the func and arg to return the complete job that the block should execute
attribute type | description |
---|---|
input | n_cpu: number of cpus being stressed |
input | t_run: the time it will take to run the job |
set with set_job() | func: the function the block is storing |
set with set_job() | func_args: the arguments for the function the block is storing |
calculated | job: a combination of the func and arg to return the complete job that the block should execute |
stressypy
can be installed with pip install stressypy
or cloned manually and setup with python setup.py install
stressypy
is dependent on the stress
unix package. Make sure you have it installed.
Unix Distro | Command |
---|---|
Debian | sudo apt-get install stress |
Arch Linux | pacman -S stress |
stressypy
runs using the command stressy stress
with the number of cpus and time passed as arguments
stressy stress 1 1
stresses 1 core for 1 secondstressy stress 7 3
stresses 7 cores for 3 second