Application Agnostic Real-time Data Compression

نویسنده

  • Greg Schulz
چکیده

Reducing data footprint to boost application performance or streamline data and storage management is an effective approach to addressing address data center power, cooling, and floor space and related environmental or green IT and green storage issues. The key is to achieve a reduction in data footprint without loss of data or incurring performance bottlenecks in the quest to achieve energy efficiency and environmental friendliness. This Industry trends and perspectives brief looks at how real-time data compression can be used for on-line active data to achieve energy efficiency without performance comprise along with enhancing near-line or secondary storage effectiveness.

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تاریخ انتشار 2010