Clotho: Transparent Data Versioning at the Block I/O Level

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Transcription:

Clotho: Transparent Data Versioning at the Block I/O Level Michail Flouris Dept. of Computer Science University of Toronto flouris@cs.toronto.edu Angelos Bilas ICS- FORTH & University of Crete bilas@ics.forth.gr MSST 04 1

Advanced Storage Functionality Applications have increased requirements from storage systems Storage systems are required to provide advanced functionality in several areas Reliability Encryption Compression Quality Guarantees Backup MSST 04 2

Online Storage Versioning Applications need to preserve many versions of data Advanced backup functionality motivated by current large & inexpensive disks Online versioning: Perform continuous real-time versioning Keep backup repositories on-line using disks Potential for lower administration overhead MSST 04 3

Filesystem-level: Previous Work Elephant [SOSP 99], Plan 9 [Pike 90], CVFS [FAST 03], WAFL [Usenix 94], 3DFS [Usenix 92], Inversion FS [Usenix 93] Block-level: Petal [ASPLOS 96] Commercial Products: EMC SnapView, Veritas FlashSnap, Sun Instant Image, etc. Not general-purpose and transparent Require special filesystem or custom hardware MSST 04 4

Our goal Transparent & general-purpose versioning Filesystem-agnostic versioning Based on commodity hardware High performance (essential for online use) Provide versioning mechanisms not policies Higher layers (e.g. daemons) implement policies: Create new storage versions (when?) Delete storage versions (which? when?) Compress storage versions (which? when?) MSST 04 5

Our approach: Examine versioning at block-level Satisfies our goal Timely & in-line with technology trends Pushes functionality closer to disk Can offload processing to storage back-end Low-level Less complexity Facilitates firmware implementations (e.g. self-versioned disks) Storage systems operate at block-level MSST 04 6

Clotho: Issue Overview Motivation System Design Transparency & Flexibility Performance Overheads: Memory & Disk Space Snapshot consistency Evaluation Conclusions MSST 04 7

Transparency & Flexibility (I) Clotho is a versioning layer in the OS I/O hierarchy Appears as a virtual block device Versions whole block volumes (snapshots) Read-only old volume versions Appear as new virtual block devices Accessible in parallel with the latest version Practically unlimited versions MSST 04 8

Transparency & Flexibility (II) Clotho can be inserted arbitrarily in an I/O hierarchy over any other block device Higher layers (filesystem, database, etc.) Versioning Layer Clotho Block Device (Disk, RAID, etc.) MSST 04 9

Disk Space Management Input Capacity Logical Segments Output Device Capac. Reserving backup capacity from higher layer Data Capacity guaranteed Need metadata to index backup blocks MSST 04 10

New Version /dev/vol Volume Evolution Time /dev/vol /dev/vol /dev/vol New Version Latest Volume Version Version 1 /dev/vol1 /dev/vol1 /dev/vol1 Version 2 /dev/vol2 /dev/vol2 New Version Version capture triggered by any system event Version 3 /dev/vol3 MSST 04 11

Clotho: Issue Overview Motivation System Design Transparency & Flexibility Performance Overheads: Memory & Disk Space Snapshot consistency Evaluation Conclusions MSST 04 12

Low Overhead Snapshots Issue: Creating volume snapshots fast! Clotho services a stream of I/O requests Need to make a versioning decision per write request (read requests do not modify data) Clotho uses a latest version counter and a version number per block On writes check the two counters to decide Create new snapshot: simply increase the latest version counter No overhead : simple pointer manipulation MSST 04 13

Handling Writes (I) Issue: Creating new block versions fast! First method: Copy-on-write No layout change for user volume Slow (introduces a copy) Write to Block 10 Copy of old block 10 in block X Algorithm: Copy old data, then overwrite the old block in place Data Backup New data in block 10 MSST 04 14

Handling Writes (II) Second method: Remapping-on-write (Clotho) Low overhead (no copy) Changes block layout (use own layout algorithm) Augmenting existing logical-to-physical block translation table Old data remain in block 10 Write to Block 10 Redirect new data in block Y Algorithm: Redirect new data to free block, keep old block in place Physical Blocks New data in block Y MSST 04 15

Block Translation LXT Requests from higher layer (e.g. FS) 0 1 2 3 4 5 6 y z 0 1 0 1 0 2 1 v r 2 1 4 5 6 3 10 x t Logical blocks Block version numbers Physical blocks Remapped to lower device (e.g. Disk) Latest Version Counter: 2 Extending existing block translation table Versioning granularity: One block Clotho uses scan-based layout algorithm MSST 04 16

Clotho: Issue Overview Motivation System Design Transparency & Flexibility Performance Overheads: Memory & Disk Space Snapshot consistency Evaluation Conclusions MSST 04 17

Memory Overhead Clotho services I/O requests with the OS block size Issue: Small OS block size increases metadata size Metadata are cached in memory Metadata size depends on capacity & block size 4KByte blocks require 4MB RAM per GByte of disk Solution: Clotho uses internal blocks ( extents ) to transparently minimize metadata memory usage Large extents reduce the metadata size 32KB extents require 500KB per GByte of disk space (for keeping all the metadata in memory) MSST 04 18

Partial Update Issue Issue: external (OS) block size smaller than the extent size causes data copy Solution: use sub-extents equal to the external block size and valid bitmap Data copy needed for partial extent! Writing small OS block by remapping to a new extent Using Sub-extents New extent Large extents 0 1 0 Valid Bitmap for extent MSST 04 19

Disk Space Overhead Storing many or all data versions requires much disk space (naturally!) Clotho minimizes disk usage by applying differential compression Deltas/diffs between consecutive block versions Compact versions are accessible on-line Full blocks reconstructed dynamically on reads Issue: Need new block mapping Solution: Storing many diffs in a normal block MSST 04 20

Snapshot consistency (I) Snapshots are raw volume images at a point in time Issue: OS & higher layer buffering may lead to snapshot inconsistencies E.g. Unsynchronized system or filesystem buffers at snapshot capture time Solution: Clotho flushes all system and filesystem buffers before snapshot capture MSST 04 21

Snapshot Consistency (II) Filesystem specific issue Some files are open at snapshot capture time Clotho stores open file list on snapshot Application buffer issue When block-level applications cache I/O buffers When applications use specialized consistency rules (e.g. atomic set of I/O operations) Versioning must be triggered by applications or recovery mechanisms applied MSST 04 22

Clotho: Issue Overview Motivation System Design Transparency & Flexibility Performance Overheads: Memory & Disk Space Snapshot consistency Evaluation Conclusions MSST 04 23

Implementation Linux 2.4 block device driver (~6,000 lines) Loadable kernel module Implementation uses kernel I/O request remapping techniques As in LVM and Linux RAID Ioctl() interface for custom commands Exposes state through the /proc interface MSST 04 24

Evaluation Interested in: Common path performance (I/O + versioning) Read performance on compact versions Platform: 2x P3 866MHz, 768MB RAM, 100MBps NIC, IBM 45GB (7200rpm) disk OS: Linux 2.4.18 Filesystems measured on top of Clotho: Linux Ext2 FS ReiserFS FS Benchmarks: Bonnie, SPEC SFS 3.0 MSST 04 25

2GB data, No versions, 4KB extents, Ext2 FS MSST 04 26

Linux Ext2 FS Results MSST 04 27

Linux Reiser FS Results MSST 04 28

MSST 04 29

Limitations Issue if higher layer (e.g. FS) assumes certain disk layout No support for multiple devices (version capture must be synchronized across devices) MSST 04 30

Conclusions On-line storage versioning at the block level Feasible and efficient Main advantage Transparent and general-purpose Challenges Flexibility & Transparency Performance Main memory & Disk overheads Snapshot consistency MSST 04 31

Questions? Paper title: Clotho: Transparent Data Versioning at the Block I/O Level Authors: Michail Flouris, flouris@cs.toronto.edu Web: www.eecg.toronto.edu/~flouris Angelos Bilas, bilas@ics.forth.gr Web: www.ics.forth.gr/~bilas MSST 04 32