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WOS Systems

 

DDN | WOS 6000

Big Data Cloud & Object Storage, Made Mainstream

WOS 6000

WOS nodes are self-contained appliances configured with disk storage, CPU and memory resources. Each node is preconfigured with the WOS software and Gigabit Ethernet network interfaces. A cloud can be created out of any nodes that have Internet Protocol (IP) connectivity to each other, regardless of their physical location. Various capacities and performance configurations of WOS nodes are available.

The high-density WOS 6000 is a 4U chassis with 60 drives for 180TB capacity and 8 x Gigabit Ethernet or 8x InfiniBand network connections. IT Managers create Zones in the WOS cluster, assign node(s) in each, and create the policies that they will use to manage the cloud storage cluster as they prefer. As more storage is needed, another WOS node can be seamlessly added to network for added capacity at anytime.

DDN | WOS Bridge

Big Data Cloud & Object Storage, Made Mainstream

WOS Bridge

Today, many organizations utilize DDN’s high performance EXAScaler & GRIDScaler parallel file storage appliances to ingest, store and process large amounts of HPC-based research, analytics and web data. WOS Bridge enables these organizations to make their data available worldwide, at local data access speeds for global collaboration and content distribution. Workflows, time-to-results and monetization is accelerated with this turn-key solution. Content remains completely under your control, secure and behind your firewall.

Integration with Web Object Scaler (WOS) from DDN

  • Collaborate between geographically distributed teams and business partners by seamlessly migrating data from EXAScaler or GRIDScaler to WOS
  • Run simulations on EXAScaler or GRIDScaler and replicate results to remote sites using WOS
  • Back up files safely to the WOS cloud for disaster recovery

Use Cases for WOS Bridge

Supported NFS Protocols:
  • Distribute raw data to globally distributed researchers
Financial Services
  • Distribute raw data & analytics for additional interpretation
Media & Entertainment
  • Send dailies for review or distribute content for monetization
Web & Big Data
  • Provide local copies of raw data for analysis