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 ? ideally ? 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.