信息生命周期管理

Understanding what happens to data throughout its lifetime is becoming an increasingly important aspect of effective data management. How should data be managed and where should data ?C ideally ?C reside during its existence? Do storage management requirements change as data goes through its life-cycle? The probability of reuse of data has historically been one of the most meaningful metrics for understanding optimal data placement and remains a key metric for effective HSM (Hierarchical Storage Management) implementation. Storage Consumption Rules of Thumb, Observations and estimates -- provide additional insight into numerous storage consumption and usage patterns.