Is it a good idea to predict the best backup windows with machine learning?
We can monitor the historic network/storage/CPU/RAM usage, and then predict the best time time slots for backup or VM cloning. Based on those predictions, we can also support an elastic backup frequency and make it automatic rather than reply on a dummy scheduler. Thus, the machine learning technologies can mitigate the performance degradation caused by backup, as well as reduce the data loss caused by improper scheduling. In short, make backup intelligent.