A simple program for calling stress and/or stress-ng from python
Project description
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.
JobBlock Attributes:
class attributes
total_blocks: the number of blocks created
waiting_blocks: the number of blocks waiting to be queued - in box
queued_blocks: the number of blocks waiting to be executed - in queue
instance attributes
n_cpu: number of cpus being stressed
t_run: the time it will take to run the job
delta_t_run: the time the processor will take to run the job; overhead time
state: the state of the block
func: the function the block is storing
func_args: the arguments for the function the block is storing
area: the ‘area’ as width in cpu vs height in time
queue: the queue the block will be sent to
job: a combination of the func and arg to return the complete job that the block should execute
Installation
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 |
Directions
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 second
stressy stress 7 3 stresses 7 cores for 3 second
Project details
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