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The Reflex OS Software

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Powering Real Time Performance

Reflex OS

The Reflex OS powers CACHEfx appliances, maximizing the value of delivering cache as a shared network service. The core components of the software work together to:

  • Virtualize and aggregate memory resources into a coherent cache pool
  • Minimize response time and maximize throughput
  • Intelligently and dynamically manage cache resources

The Reflex OS software is tightly integrated with the CACEHfx hardware enabling caching to be delivered as a shared network services that can scale linearly and support thousands of concurrent NFS clients and scale to millions of I/O operations per second.

High Capacity Coherent Pool of Memory
The virtualization layer of the Reflex OS aggregates appliance memory into a coherent pool that is available on the network as a single cache namespace. The software creates this pool of memory both within a single appliance and across multiple appliances clustered together. Supported by a highly available clustered architecture, the virtualization capabilities allow on-the-fly scaling of multiple CACHEfx appliances to tailor resources and performance appropriately to a particular environment.

Sub-millisecond Response Times & Massively Parallel Throughput
In addition to the performance gains achieved by delivering data from memory, the Reflex OS includes the SimulServe parallel I/O engine to automatically distribute I/O requests for simultaneous processing and response.

Intelligent Cache Services
The Reflex OS includes intelligent caching algorithms to maximize resource utilization and automatically manage the data within the cache pool. The software includes intelligent caching algorithms, a unique 'no-lookup' directory, and the intuitive CACHEboard web-based interface for management and real time statistics These services offer user-defined policies to tailor specific CACHEfx behavior for specific applications and configurations.

Industries and Applications

  • Electric design
  • Financial analytics
  • Energy and exploration
  • Web applications
  • Media delivery
  • Biotechnology
  • Animation

Characteristic Environments

  • Large data sets
  • Random access
  • Concurrent clients
  • Transaction intensive
  • High peak loads
  • Required service levels