Enabling Long-Lived Snapshots of the Long-Lived Past
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``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},
address = {Cancun, Mexico},
month = March,
year = {2008}
}