Research Progress on Optimization Techniques of Tiered Storage Based on Deduplication
With the explosive growth of global data volume and the increasing diversity of data,storage systems with a single media layer are gradually unable to meet the diverse application demand of users.Tiered storage can classify and store data into storage layers with different access latency,storage capacity,and fault tolerance based on the importance,access frequency,securi-ty requirements,and other characteristics of the data.It has been widely applied in various fields.Deduplication is a big data re-duction technique that can efficiently remove duplicate data from storage systems and maximize storage space utilization.Unlike single storage layer scenarios,applying deduplication to tiered storage can not only reduce cross-layer data redundancy,further save storage space and reduce storage costs,but also improve data I/O performance and storage device durability.After a brief analysis of the principle,process,and classification of deduplication based tiered storage,this paper starts with three key steps:storage location selection,duplicate content identification,and data migration operation.It summarizes the research progress of many optimization methods and explores the potential technical challenges of deduplication based tiered storage.Finally,the fu-ture development trends of deduplication based tiered storage is prospected.
万方数据
维普
