# Enabling Long-Lived Snapshots of the Long-Lived Past

Skippy:Enabling Long-Lived Snapshots of the Long-Lived Past" by Ross Shaull(Brandeis), Liuba Shrira (Brandeis), and Hao Xu (Brandeis). Poster paper for ICDE 2008, (International Conference on Data Engineering), Cancun, Mexico, March 2008.)

## 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 a new approach that solves this problem. Performance evaluation, based on theoretical analysis and experimental measurements, indicates that the new approach is effective and efficient.

BibTeX entry:

@miscellanious{skippy-poster-icde08,
author = {Ross Shaull and Liuba Shrira and Hao Xu},
title = {"Skippy:Enabling Long-Lived Snapshots of the Long-Lived Past" (Poster)},
booktitle = {{\em International Conference on Data Engineering}, ICDE 2008},