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2008 IEEE 24th International Conference on Data Engineering (2008)
Cancun, Mexico
Apr. 7, 2008 to Apr. 12, 2008
ISBN: 978-1-4244-1836-7
pp: 1474-1476
Ross Shaull , Department of Computer Science, Brandeis University, Waltham, Massachusetts, USA. rshaull@cs.brandeis.edu
Liuba Shrira , Department of Computer Science, Brandeis University, Waltham, Massachusetts, USA. liuba@cs.brandeis.edu
Hao Xu , Department of Computer Science, Brandeis University, Waltham, Massachusetts, USA. hxu@cs.brandeis.edu
ABSTRACT
Decreasing disk costs have made it practical to retain long-lived snapshots, enabling new applications that analyze past states and infer about future states. Current approaches offer no satisfactory way to organize long-lived snapshots because they disrupt the database in either short or long run. Split snapshots are a recent approach that overcomes some of the limitations. An unsolved problem has been how to support efficient application code access to arbitrarily long-lived snapshots. We describe Skippy, a new approach that solves this problem. Performance evaluation of Skippy, based on theoretical analysis and experimental measurements, indicates that the new approach is effective and efficient.
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CITATION

R. Shaull, L. Shrira and H. Xu, "Skippy: Enabling Long-Lived Snapshots of the Long-Lived Past," 2008 IEEE 24th International Conference on Data Engineering(ICDE), Cancun, Mexico, 2008, pp. 1474-1476.
doi:10.1109/ICDE.2008.4497594
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