Benefits      


A new approach to data compression


Compression is as old as personal computing, but up until recently it was used mainly for backup and second tier storage. Many attempts to address the challenges of primary storage compression have failed because of degraded performance and lack of transparency.

   Introducing: Real-Time Compression

Because compression of primary storage data has been difficult to address, most data capacity reduction efforts in recent years have been directed at compression during remote transport. This type of compression saves bandwidth but does nothing to reduce stored data volumes. Attempts to compress primary storage data interfered with user workflow and required running software on both storage and end-user devices. These solutions were based on cumbersome sequential access (decompress, update, recompress), work at file-level granularity, or both.
They also wasted client resources and introduced unacceptable latencies.

Storwize primary data compression solution process in real-time only the data required for a particular user or application, and supports multiple applications and data types. The Storwize data compression approach delivers real-time lossless data compression using a dedicated high-performance data compression appliance deployed between the organization’s network switch and storage and save space on primary storage and all related copies without compromising performance, functionality or data integrity.

  Full transparency for
 
•  Client
•  OS
•  Applications
•  Storage unit

  Real-time random access to compressed data
   
•  Read from any location in the compressed data
•  Modify any location in the compressed data

  Storage performance is not compromised
 


•  No CPU or memory penalty for clients or storage (compression process is     performed in a sole-purpose appliance designed and optimized for this     specific task)
     
•  Smaller datagram size on storage subsystem allows reducing storage
    workload and frees potential bottlenecks (disks CPU, cache mechanisms
    and more
)

•  Data is handled in compressed form, leading to significant reductions
    in storage systems’ CPU and disk utilization and improvement in the     effective storage cache.


  Complementary solution
 
•  Storwize compression is transparent and complementary to other
    data footprint reduction solutions such as Virtualization, Deduplication
    and Thin Provisioning.




 

  White Papers