SISL™ Scaling Architecture
Deduplication Throughput Scales with CPU Performance
One of the core technologies pioneered by Data Domain is its Stream-Informed Segment Layout (SISL) Scaling Architecture, which leverages the continued advancement of CPU performance to add direct benefit to system throughput scalability.
Other deduplication technologies require additional disk drives or "spindles" to achieve the throughput speeds needed for efficient deduplication. Ironically, these other hybrid technologies that mandate the use of more disk drives require more storage, time and cost to achieve a similar, yet fundamentally inferior result.
Data Domain SISL Technology Provides Many Unique Advantages
- 99% of duplicate data segments are identified in RAM, inline, before storing to disk.
- Block data transfers with related segments and fingerprints are stored together, so large groups are written or read at once.
- Efficient disk access minimizes disk seeks to enable increased performance and minimizes the number of large capacity, cost-efficient SATA disks needed to deliver high throughput.
- Minimal spindle count reduces the amount of total physical storage needed, along with associated storage management.
In SISL, Data Domain has developed a proven architecture that uses deduplication to achieve high throughput with economical storage hardware. Over time, this will allow the continued scaling of CPUs to add direct benefit to system scalability in the form of additional throughput while minimizing the storage footprint.
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