Cleversafe Announces 10-Exabyte Storage System Configuration

Cleversafe, Inc., a storage management vendor, has unveiled a 10-exabyte storage system to meet the growing need to store massive amounts of data being collected in companies. In order to capitalize on the intelligence gained through big data analytics, companies must first find effective options for storing immense volumes of unstructured data.

"Internet traffic volumes are increasing at a rate of 32% globally each year. It's not unrealistic to think companies looking to mine that data would need to effectively analyze 80 exabytes of data per month by 2015," says Russ Kennedy, vice president of product strategy, marketing and customer solutions for Cleversafe. "To any company, data is a priceless component. However, it's only valuable if a company can effectively look across that data over time for trends or to analyze behavior and to do it cost effectively."

Cleversafe's new 10-exabyte data storage system configuration, which uses its  object-based dispersed storage technology, enables independent scaling of storage capacity and performance through a Portable Datacenter (PD), a collection of storage and network racks that can be deployed or moved. Each PD contains 21 racks with 189 storage nodes per PD and 45 3TB drives per storage node. This geographically distributed PD model allows for rapid scale and mobility and is further optimized for site failure tolerance and high availability, Cleversafe says. The company's current configuration includes 16 sites across the U.S. with 35 PDs per site and hundreds of simultaneous readers/writers to deliver instantaneous access to billions of objects.

Cleversafe's information dispersal architecture uses a single instance of data with a minimal expansion of the data in order to maintain the integrity and availability, allowing companies to save up to 90% of their storage costs without the overhead of replication.

Using the object-based approach, Cleversafe says its customers can scale their storage requirements from hundreds of terabytes to petabytes to exabytes. For unstructured data such as video, audio, images, and applications that are streaming data in from mobile devices and tablets, an object-based approach allows the information to be segmented in a single name space that exposes the data through standard HTTP-based protocols.

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