Automated storage tiering using machine learning
In the current era there is a general transition from a human developed automation storage system to machine learning based intelligent storage system. Many storage solutions support multiple tiers of storage coming from on premise and cloud storage in a single namespace. The storage tiers can vary in various dimensions such as performance, resiliency, cost. The storage solutions also provide mechanisms to move objects from one tier to a different tier depending on various parameters, such as last access time, last modification time, access frequency, size of the object.