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  1. Transactions on Storage (TOS)
  2. ACM Transactions on Storage (TOS) : Volume 12
  3. Issue 1(Special Issue on Massive Storage Systems and Technologies (MSST 2015)), February 2016
  4. GCTrees: Garbage Collecting Snapshots
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ACM Transactions on Storage (TOS) : Volume 12
Issue 4, August 2016
Issue 3, June 2016
Issue 1(Special Issue on Massive Storage Systems and Technologies (MSST 2015)), February 2016
Introduction to the Special Issue on MSST 2015
Classifying Data to Reduce Long-Term Data Movement in Shingled Write Disks
Blurred Persistence: Efficient Transactions in Persistent Memory
GCTrees: Garbage Collecting Snapshots
LoneStar RAID: Massive Array of Offline Disks for Archival Systems
Issue 2, February 2016
ACM Transactions on Storage (TOS) : Volume 11
ACM Transactions on Storage (TOS) : Volume 10
ACM Transactions on Storage (TOS) : Volume 9
ACM Transactions on Storage (TOS) : Volume 8
ACM Transactions on Storage (TOS) : Volume 7
ACM Transactions on Storage (TOS) : Volume 6
ACM Transactions on Storage (TOS) : Volume 5
ACM Transactions on Storage (TOS) : Volume 4
ACM Transactions on Storage (TOS) : Volume 3
ACM Transactions on Storage (TOS) : Volume 2
ACM Transactions on Storage (TOS) : Volume 1

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GCTrees: Garbage Collecting Snapshots

Content Provider ACM Digital Library
Author Dragga, Chris Santry, Douglas J.
Copyright Year 2016
Abstract File-system snapshots have been a key component of enterprise storage management since their inception. Creating and managing them efficiently, while maintaining flexibility and low overhead, has been a constant struggle. Although the current state-of-the-art mechanism—hierarchical reference counting—performs reasonably well for traditional small-file workloads, these workloads are increasingly vanishing from the enterprise data center, replaced instead with virtual machine and database workloads. These workloads center around a few very large files, violating the assumptions that allow hierarchical reference counting to operate efficiently. To better cope with these workloads, we introduce Generational Chain Trees (GCTrees), a novel method of space management that uses concepts of block lineage across snapshots rather than explicit reference counting. As a proof of concept, we create a prototype file system—gcext4, a modified version of ext4 that uses GCTrees as a basis for snapshots and copy-on-write. In evaluating this prototype empirically, we find that although they have a somewhat higher overhead for traditional workloads, GCTrees have dramatically lower overhead than hierarchical reference counting for large-file workloads, improving by a factor of 34 or more in some cases. Furthermore, gcext4 performs comparably to ext4 across all workloads, showing that GCTrees impose minor cost for their benefits.
Starting Page 1
Ending Page 32
Page Count 32
File Format PDF
ISSN 15533077
e-ISSN 15533093
DOI 10.1145/2857056
Volume Number 12
Issue Number 1
Journal ACM Transactions on Storage (TOS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-01-28
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword File systems Clones Data management Snapshots
Content Type Text
Resource Type Article
Subject Hardware and Architecture
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