A system for extending life expectancy of disks in a cloud-based service system and the system using the method are disclosed. The present invention uses LSTM modeling and the k-means clustering algorithms to find out performance limit and target lifespan for a cluster of disks assigned for a specific workload running over the cloud-based service system. The disks can be predicted to have a minimum lifetime and the requirement of the workload can be satisfied. Meanwhile, the minimum lifetime is the longest life the disk can last.