Method for Storage Performance Optimization at Block Level

Performance is a key factor in storage management systems.To improve storage performance could reduce the TCO dramatically.As one of the most important elements in performance optimization,data migration needs a more reasonable model to decide what and where to migrate.A measurable method for evaluating the value of every data block in a disk was proposed.Comparing with the hotspots detecting system that focuses on IO characters,more factors were taken into consideration in this model.To establish the model at block level overlooking the file system and application,is the most obviously difference to other model,so it can help a storage system to achieve high performance.It can be concluded from the experiment that this method is helpful for the hotspots detection,to guide the data migration.In addition,it could also help to enhance the utilization of storage devices in the storage system.