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21st International Conference on Data Engineering (ICDE'05) (2005)
Tokyo, Japan
Apr. 5, 2005 to Apr. 8, 2005
ISSN: 1084-4627
ISBN: 0-7695-2285-8
pp: 434-445
Liuba Shrira , Microsoft Research and Brandeis University
Hao Xu , Brandeis University
<p>SNAP is a novel high-performance snapshot system for object storage systems. The goal is to provide a snapshot service that is efficient enough to permit "back-in-time" read-only activities to run against application-specified snapshots. Such activities are often impossible to run against rapidly evolving current state because of interference or because the required activity is determined in retrospect.</p> <p>A key innovation in SNAP is that it provides snapshots that are transactionally consistent, yet non-disruptive. Unlike earlier systems, we use novel in-memory data structures to ensure that frequent snapshots do not block applications from accessing the storage system, and do not cause unnecessary disk operations. SNAP takes a novel approach to dealing with snapshot meta-data using a new technique that supports both incremental meta-data creation and efficient meta-data reconstruction.</p> <p>We have implemented a SNAP prototype and analyzed its performance. Preliminary results show that providing snapshots for back-in-time activities has low impact on system performance even when snapshots are frequent.</p>

H. Xu and L. Shrira, "SNAP: Efficient Snapshots for Back-in-Time Execution," 21st International Conference on Data Engineering (ICDE'05)(ICDE), Tokyo, Japan, 2005, pp. 434-445.
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