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Deploying Swift
on a Scale-out
File System
Dean Hildebrand
IBM Research
William Owen
IBM
Thiago da Silva
Red Hat
Openstack Swift
“A highly available, distributed, eventually consistent object/blob store.
Organizations can use Swift to store lots of data efficiently, safely, and
cheaply.” source
Swift Architecture
Swift 2.0 - Storage Policies
Ability to choose how and where to store
objects
How: 2x or 3x replication, EC
Where: HDs, SSDs or a Scale-out File System
How is this accomplished?
"multiplerings"
Before...
After...
Why deploy a scale-out
filesystem as a backend for
Swift?
Benefits
Add swift to an existing
scale-out filesystem
A single management plane
for both file and object
storage
Leverage filesystem features
Snapshots
Encryption, compression,
deduplication
Automatic tiering
between classes of
storage
Tape Integration
but, what's missing?
No easy way to access object data from the file system
This object:
http://swift.example.com/v1/acct/cont/obj
is located here:
/mnt/swift/z1device7/objects/63773/ba2/
f91d1e7550cd32822a17b00fa86d9ba2/
1414045361.93852.data
Swift-on-File
A Swift DiskFile implementation used to store objects on scale-out
filesystems (e.g., GlusterFS, GPFS).
Allows objects created using Swift API to be accessed as files and
vice-versa
Map URL to file path
Deployed as a Storage Policy
Now, this object:
http://swift.example.com/v1/acct/cont/obj
is located here:
/mnt/swiftonfile/acct/cont/obj
Use Case: Multiple protocol
access
Use Case: Analytics
Problem: Separate Storage systems for
object ingest/distribution and analysis
Data duplication and
maintenance overhead
Data Consistency
Lack real-time analysis
Solution: Swift with Scale-out filesystem
Decreased time to results
Run MapReduce directly
on objects through native
File API
No waiting for data
transfer between storage
systems
Use Case: Scientific
Collaboration
Problem: Secure and scalable sharing of
scientific data
Native object stores not
suited to scientific data
analysis
Scale-out file systems lack
global sharing capabilities
Replicating large scientific
datasets problematic
Solution: Swift with Scale-out filesystem
High-Performance
Scientific applications
use filesystem directly to
achieve required
bandwidth
Immediately share results
through Swift
Secure sharing with
Keystone
To summarize, Swift-on-File
enables you to:
Quickly deploy object storage on a scale-out filesystem
A single system that allows you to access your data as both files and
objects
Extend an existing Swift cluster
What's next?
Come hear more about it during the Swift design sessions on Friday
Come join us...
Github: https://github.com/stackforge/swiftonfile
Launchpad: https://launchpad.net/swiftonfile
irc: #swiftonfile

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Deploying swift on a scale out file system