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5 ways to cut your storage footprint

Robert L. Scheier | Sept. 28, 2010
Trimming your data footprint not only cuts costs for hardware, software, power and data center space, but also eases the strain on networks and backup windows.

For customers with multiple servers or storage platforms, enterprisewide deduplication saves money by eliminating duplicate copies of data stored on the various platforms. This is critical because most organizations create as many as 15 copies of the same data for use by applications such as data mining, ERP and customer relationship management systems, says Randy Chalfant, vice president of strategy at disk-based storage vendor Nexsan Corp. Users might also want to consider a single deduplication system to make it easier for any application or user to "rehydrate" data (return it to its original form) as needed and avoid incompatibilities among multiple systems.

Schulz says primary deduplication products could perform in preprocessing mode until a certain performance threshold is hit, then switch to postprocessing.

Another option, policy-based deduplication, allows storage managers to choose which files should undergo deduplication, based on their size, importance or other criteria.

SFL Data, which gathers, stores, indexes, searches and provides data for companies and law firms involved in litigation, has found a balance between performance and data reduction. It's deploying Ocarina Networks' 2400 Storage Optimizer for "near-online" storage of compressed and deduplicated files on a BlueArc Mercury 50 cluster that scales up to 2 petabytes of usable capacity, rehydrating those files as users require them.

"Rehydrating the files slows access time a bit, but it's far better than telling customers they have to wait two days" to access those files, says SFL's technical director, Ruth Townsend, noting that the company gets as much as 50 per cent space savings through deduplication and file compression.

2. Compression

Probably the most well-known data reduction technology, compression is the process of finding and eliminating repeated patterns of bytes. It works well with databases, e-mail and files, but it's less effective for images. It's included in some storage systems, but you can also find stand-alone compression applications or appliances.

Dedupe and Compression: Better Together?

Some vendors offer, or will offer, both deduplication and compression. Others, such as Ocarina, decode already-compressed files before optimizing them. Randy Chalfant, vice president of strategy at Nexsan, argues that data should be compressed at the file or operating system level and deduplicated on the storage target. Cloud-based deduplication and compression vendor Asigra Inc. first compresses and then deduplicates data, and stores only changes made to it.

The choice of whether, when and in what order to use both compression and deduplication depends on factors such as whether compression will make it easier or harder for the deduplication software to scan for redundancies, what tier (primary vs. secondary) you're looking to optimize, and how quickly the product can return data to a usable form when needed.

Real-time compression that doesn't delay access or slow performance by requiring data to be decompressed before it's modified or read is suitable for online applications like databases and online transaction processing, says Schulz. The computing power within modern multicore processors also makes server-based compression an option for some environments, he adds.

 

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