GLYPH<SM590000> Thin and Deduplicated 

In addition to on-demand space allocation, duplicates of data blocks are detected and are replaced with references to the first copy. 

GLYPH<SM590000> Thin, Compressed, and Deduplicated 

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: 

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 

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. 

## 10.4.2 DRP benefits 

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. 

