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by Data Domain
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Published on: April 16, 2009
Type of content: WHITE PAPER
Format:
Unknown
Length: 6 pages
Price: FREE
Overview:
Deduplication can help gain an order of magnitude more data reduction than traditional local compression such as LZ or gzip for backup users. But to be cost-neutral when compared to a tape automation system, the deduplication system needs to be CPU-centric and require very few disk accesses, so that it can be built with the minimum number of low-cost, high-capacity disks.
Data Domain solved this problem early on with the SISL (Stream-Informed Segment Layout) scaling architecture within DD OS. It optimizes deduplication throughput scalability and minimizes disk footprint by minimizing disk accesses. Doing so allows the system throughput to be CPU-centric. Speed increases directly as CPUs improve in performance. This paper explores the Data Domain SISL approach and compares it to emerging alternatives.
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