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CSC Accelerates NOAA And GFDL Research With SGI Storage Management Solutions

SGI (NASDAQ:SGI), the trusted leader in technical computing, today announced that CSC’s (NYSE: CSC) North American Public Sector (NPS) National Oceanic and Atmospheric Administration (NOAA) account team has selected the SGI® DMF™ storage tier virtualization solution to support the data archiving requirements of NOAA at the Geophysical Fluid Dynamics Laboratory (GFDL). SGI DMF will provide the hierarchical storage management system required to handle the organization’s large-scale and active archives, and will allow transparent access to end users for critical climate research.

NOAA is the federal agency focused on examining the condition of Earth’s oceans and the atmosphere, while GFDL develops and uses mathematical models and computer simulations to improve the understanding and prediction of behaviors within the atmosphere, oceans and climate. Under the United States Department of Commerce (DOC), NOAA and GFDL work to advance expert assessments of changes in national and global climate through research, computer models and products.

GFDL moves up to 100 terabytes (100,000 gigabytes) of data per day into and out of the DMF-managed archive, which makes it one of the most active data repositories in the world. At 30 petabytes (30 million billion bytes), it is also the world’s largest data repository under DMF control. GFDL expects its data store to grow to 90 petabytes in the next three years. SGI’s parallel DMF will be able to keep pace with these projected increases in both data quantity and data movement.

“We selected SGI for this major storage solution deployment based on the company’s proven history of high performance, and the transparent access parallel DMF will provide to GFDL researchers,” said Steve Baxter, program manager, CSC NPS. “SGI’s past support speaks volumes about how it will perform in the future as our storage technology partner for GFDL.”

SGI DMF creates and automatically manages a tiered virtual storage environment to reduce equipment and operating costs, improve service levels and reduce risk. Based on user criteria, DMF continuously monitors and automatically migrates data among storage assets with different cost and performance characteristics. Only the most critical or timely data resides on higher performance storage media, while less critical data is automatically migrated to background storage media. Data always appears to be online and available to applications and end users, regardless of its actual storage location.

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