How does too many nodes in a process model increase memory footprint?

Abhishek Karumuru Konduru Chaitanya Thanks for your inputs.

Yes, the number of process variables and the data size will impact the memory.

While doing sequential processing, the new thread will be span for each node one by one i.e. once the execution of one node is completed, create a thread for another node. Hence, the number of nodes should not have a major impact on memory.

As mentioned by Konduru Chaitanya  and Abhishek Karumuru, a greater number of nodes will increase process history and other logistic data(log, etc.). However, I feel that it should not have much impact on memory since this data should not take much memory/space.

Abhishek Karumuru Konduru Chaitanya Thanks for your inputs.

Yes, the number of process variables and the data size will impact the memory.

While doing sequential processing, the new thread will be span for each node one by one i.e. once the execution of one node is completed, create a thread for another node. Hence, the number of nodes should not have a major impact on memory.

As mentioned by Konduru Chaitanya  and Abhishek Karumuru, a greater number of nodes will increase process history and other logistic data(log, etc.). However, I feel that it should not have much impact on memory since this data should not take much memory/space.