@inproceedings{43c98b525d2c4edfa5acb906e18703ad,
title = "Modeling the fault tolerance consequences of deduplication",
abstract = "Modern storage systems are employing data deduplication with increasing frequency. Often the storage systems on which these techniques are deployed contain important data, and utilize fault-tolerant hardware and software to improve the reliability of the system and reduce data loss. We suggest that data deduplication introduces inter-file relationships that may have a negative impact on the fault tolerance of such systems by creating dependencies that can increase the severity of data loss events. We present a framework composed of data analysis methods and a model of data deduplication that is useful in studying the reliability impact of data deduplication. The framework is useful for determining a deduplication strategy that is estimated to satisfy a set of reliability constraints supplied by a user.",
keywords = "UDE, deduplication, fault tolerance, reliability, storage systems",
author = "Rozier, {Eric W.D.} and Sanders, {William H.} and Pin Zhou and Nagapramod Mandagere and Uttamchandani, {Sandeep M.} and Yakushev, {Mark L.}",
year = "2011",
month = dec,
day = "14",
doi = "10.1109/SRDS.2011.18",
language = "English (US)",
isbn = "9780769544502",
series = "Proceedings of the IEEE Symposium on Reliable Distributed Systems",
pages = "75--84",
booktitle = "Proceedings - 2011 30th IEEE International Symposium on Reliable Distributed Systems, SRDS 2011",
note = "2011 30th IEEE International Symposium on Reliable Distributed Systems, SRDS 2011 ; Conference date: 04-10-2011 Through 07-10-2011",
}