Fig. 7
From: A combined priority scheduling method for distributed machine learning
Experiment result of group 5. The group 5 experiment performs a job of distributed machine learning on 2ps6worker pods under TensorFlow framework, where each pod is allocated 1 CPU core and 1Â GB memory and the number of VM nodes in Kubernetes cloud environment is 10. It can be seen that the scheduling order of most parameters of the CPS algorithm server pod is lower than the built-in priority algorithm