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Hi, Hongzi
I am new to artificial intelligence algorithms, and my daily work is focused on using Spark. After I read the paper and the implementation code, I had a question about the dataset. Each task in the dataset has a task duration. The purpose of selecting part of the Job DAG to the Train.py is to train an agent responsible for scheduling. After that, the purpose of selecting part of the Job DAG to the Test.py is to detect whether the scheduling effect of the agent reaches the shortened JCT. Can I understand in this way?
However, in the actual production environment, we should not get the duration of these tasks. If I have the honor to use your paper in the production environment, can the task duration be obtained by the predictive algorithm?
I look forward your reply. Thank you so much!
The text was updated successfully, but these errors were encountered:
Hi, Hongzi
I am new to artificial intelligence algorithms, and my daily work is focused on using Spark. After I read the paper and the implementation code, I had a question about the dataset. Each task in the dataset has a task duration. The purpose of selecting part of the Job DAG to the Train.py is to train an agent responsible for scheduling. After that, the purpose of selecting part of the Job DAG to the Test.py is to detect whether the scheduling effect of the agent reaches the shortened JCT. Can I understand in this way?
However, in the actual production environment, we should not get the duration of these tasks. If I have the honor to use your paper in the production environment, can the task duration be obtained by the predictive algorithm?
I look forward your reply. Thank you so much!
The text was updated successfully, but these errors were encountered: