GLYPH<SM590000> Thin and Deduplicated GLYPH<SM590000> Thin, Compressed, and Deduplicated GLYPH<SM590000> Enabled Compression license GLYPH<SM590000> V8.1.3.2 or higher  GLYPH<SM590000> Nodes have at least 32 GB memory to support deduplication In addition to on-demand space allocation, duplicates of data blocks are detected and are  replaced with references to the first copy. This type provides maximum storage efficiency and capacity savings by combining both  methods. The following software and hardware requirements must be met for DRP compression and  deduplication: Random Access Compression Engine (RACE) compression and DRP compressed volumes  can coexist in the same I/O group. However, deduplication is not supported in the same I/O  group as RACE compressed volumes. DRPs are a new type of storage pool that implement techniques, such as thin-provisioning,  compression, and deduplication to reduce the amount of physical capacity that is required to  store data. Savings in storage capacity requirements translate into a reduction in the cost of  storing the data.  The cost reductions that are achieved through software can facilitate the transition to all Flash  storage. Flash storage has lower operating costs, lower power consumption, higher density,  and is cheaper to cool. However, the cost of Flash storage is still higher than disk storage.  With technologies, such as DRP, the cost difference can be reduced to a point where an all  Flash solution is feasible.The first benefit of DRP is in the form of storage savings because of  deduplication. The deduplication process identifies unique data patterns and stores the  signature of the data for reference when writing new data.  If the signature of the new data matches an existing signature, the new data is not written to  disk; instead, a reference to the stored data is written. The same byte pattern might occur  many times, which results in the amount of data that must be stored being greatly reduced. The second benefit of DRP comes in the form of performance improvements because of  compression. Although deduplication aims to identify the same data elsewhere in the storage  pool and create references to the duplicate data instead of writing extra copies, compression  is trying to reduce the size of the host data that is written.  Compression and deduplication are not mutually exclusive, one, both, or neither, features can  be enabled. If the volume is de-duplicated and compressed, data is de-duplicated first, and  then compressed. Therefore, deduplication references are created on the compressed data  that is stored on the physical domain. DRPs offer a new implementation of data compression that is integrated into the I/O stack.  The new implementation makes better use of the resources of the system, and, similar to  RACE, uses hardware accelerators for compression. As with RACE, the new implementation  uses the same Lempel-Ziv (LZ) based real-time compression and decompression algorithm.  However, in contrast to RACE compression, DRP compression operates on smaller block  sizes, which results in more performance gains. Chapter 10. Advanced features for storage efficiency  445 10.4.2 DRP benefits