Skippy: Enabling Long-Lived Snapshots of the Long-Lived Past

Decreasing disk costs have made it practical to retain longlived 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.

• Type: Conference
• Year: 2008
• Where: ICDE
• Authors: Ross Shaull, Liuba Shrira, Hao Xu
• Keywords: Database, ICDE 2008, Long-lived Snapshots, Longlived Snapshots, Split Snapshots