The document presents an overview of a distributed block-level storage management system designed for integration with OpenStack, developed by ITRI. It details key features such as scalability, reliability, and data protection capabilities like replication and de-duplication, while emphasizing the system's suitability for large-scale cloud environments. Additionally, it outlines the architecture and components of the cloud storage system, showcasing its ability to optimize storage usage and ensure high availability.

1. Distributed Block-level Storage
Management for OpenStack
OpenStack APAC Conference 2012
Daniel Lee
CCMA/ITRI
Cloud Computing Center for Mobile Applications
Industrial Technology Research Institute
( 雲端運算行動運用科技中心 )
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2. Outline
• Overview
• Brief on ITRI Cloud OS
• Cloud storage system in ITRI Cloud OS
• Distributed Main Storage System
• Distributed Secondary Storage System
• Integration of Cloud OS Storage System with
OpenStack
• Summary
• Q&A
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3. Overview
• Data is growing exponentially and moving on to Could. It
needs to be available at all time, secured and protected.
• 911 in Twin Towers, 311 earthquake in Japan and 420 outage
of Amazon datacenters are disasters.
– Block-level and fully redundant
– Backup / restore + wide-area
– Thin provisioning
– De-duplication
– Others
• Cloud OS Storage System has these functionality and is ready
to integrate to OpenStack
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4. ITRI Cloud OS
(An All-in-one IaaS Total Solution)
Virtual Data Center Management
Primary/Secondary
Virtual Data Center
Storage Management Physical Data
Provisioning (VMWare)
(EMC) Center
Management
Physical (IBM)
Resource Security
Management (Checkpoint)
(HP/Dell)
Inter-VM Load
Balancing (F5)
Power Management
(IBM) Inter-PM Load Balancing
and VM Fail-over (VMWare)
*Blue name in bracket indicates
the leading company of the component
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5. ITRI Cloud OS
Service Interface
Multiplexing VDC’s in a Physical DC
Multiplexing VDC’s in a Physical DC
Virtual Data Center Management Physical Data Center Management
Virtual Data Center Management Physical Data Center Management
Photo Video Web
Sharing Streami Confere
ng nce
VDC VDC
Provision VDC
and Deploy
Physical
•Cloud Application
Cluster •Cloud Service
Infrastructure
Developer Administrator
•Cloud Service •Carrier
Provider
Monitor and Configure Monitor, Diagnose and
Virtual Resources Configure
Physical Resources
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6. VDCM – Assets (VDC, VC, VM)
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7. VDCM – System Images
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8. VDCM - Volumes
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9. Cloud Storage System in Cloud OS
• Cloud storage aims at cloud-scale data
centers, and is designed to be scalable,
available and low-cost.
• Main components
– Distributed Main Storage subsystem – DMS
• Provide current image I/O request processing
– Distributed Secondary Storage subsystem – DSS
• Block-level incremental metadata only backup system
• Take volume snapshot / restore, de-duplication engine,
garbage collection and WADB engine
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10. Key Features of Cloud Storage
System from Users’ Perspective
• Use like raw, unformatted block devices
• Support volume size from 1 GB to 2 TB (64TB architecture-wise)
• Can be attached by different instances (one at a time for now)
• Multiple volumes can be mounted to the same instance
• Data is automatically replicated on different physical storage
server (N=3)
• Ability to clone volumes and/or create point-in-time snapshots of
volumes
• Wide-area backup for disaster recovery
• Snapshot can be scheduled by assigning a backup policy with time,
frequency, retention, and WADB option
• Save system image for starting multiple VMs using the same image
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11. Key Features of Cloud Storage
System from Providers’ Perspective
• Use of commodity hardware – reducing cost
(JBOD)
• Disk space management for up to multiple
petabytes
• Add disk, remove disk without interruption
• Thin provisioning
• Enables you to provision a specific level of I/O
performance if desired, by setting I/O throttle
• Block-level de-duplication for reducing space
requirement
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12. DMS in Cloud OS
• DMS - Distributed Main Storage
• Goal: A cloud scale network storage solution that provide
high capacity, high reliability, high availability and high
performance
• Features:
– Volume operations: Create / Attach / Detach / Delete
– High Reliability: data replication (N=3)
– High Availability: No single point of failure
– High Performance: client-side metadata/data cache for performance
– Thin provisioning is utilized to optimize utilization of available storage.
– Fast Volume Cloning
– Save Image; FastBoot
– Disk I/O Throttle
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13. DMS System Architecture
Compute Node
…
VM VM VM Service Node
Volume Volume Volume
Metadata
DMS In-kernel client NameNode
Data RR
Storage Node
…
DMS three components:
1. Namenode
DataNode 2. DMS in-kernel client
3. Datanode
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14. DMS Compute Node
Architecture
Compute Node
Domain U User Space Domain U Kernel Space
Applications
RPM
Read/Write
Sectors /dev/hda1 Block Frontend
Driver
Attach/Detach Attach a disk to Dom U
Volume
Xen / KVM I/O Virtualization
Block Backend
User-space Daemon
Driver
NameNode IOCTL
Metadata
In-Kernel Client
Payload
DataNodes Block
Devices
/dev/dms01
/dev/dms02
.
..
..
Domain 0 User Space Domain 0 Kernel Space
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15. Read Flow
Compute Node
VM
Volume Service Node
6. Response
1. Read request
(payload) 2. query metadata: (VolID, LBID)
DMS In-kernel Client 3. HBID, N-locations
NameNode
7. Report failed locations
4. Read Data 5. Read Data from another datanode
if previous-try failed
Storage Node Storage Node Storage Node
DataNode DataNode DataNode …
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16. Write Flow – Memory-Ack Approach
Compute Node
VM
Volume Service Node
6. Response 1. Write request
2. Request for new space:(VolID, LBID)
DMS In-kernel Client 3. HBID, N-locations
NameNode
7. Commit (Success, or
4. Write Data report failed locations)
5. Memory Ack
6. Disk Ack
• Memory-ack approach:
Storage Node Storage Node Storage Node In client, I/O response to
VM(step6) is right after
DataNode DataNode DataNode … receiving memory ack from
Datanodes (step5) .
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17. DSS in Cloud OS
• Share the homogeneous space with DMS
• Block-level Incremental backup
– Copy-on-write (COW) and volume cloning techniques
– Backup is just a snapshot of meta-data
• Support volume-level restore
• Block-level de-duplication
• Garbage collection of expired, un-used and redundant disk
blocks
• Wide-area data backup / restore and near-realtime
replication
• The secondary storage itself is failure-tolerant (HA)
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18. DSS – Backup Policy
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19. DSS – Assign Backup Policy
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20. DSS – WADB
Backing up the data to a remote location at
the time volume snapshot is taken…
snapshot
Network / restore
VPN
Beijing Shang-Hai
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21. DSS – Enabling WADB
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22. De-duplication in DropBox
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23. DSS Software Architecture Diagram
Backup/Restore Backup Policy
Request
Tread
DSS main
SOAP
server Classes
RPC DSS Daemon
DSS Manager Thread Manager / Flow Control
Restore
Quartz
Snapshot
Scheduler
Timer
WADB
Fired
Garbage Collection
DB manager
De-dup DMS client
protocol RS client Lib
Scheduler
De-dup Engine DMS RS
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24. OpenStack
Web Interface
Identity Security
Compute Storage Network
Architectures Object
Hypervisors Block File Switch Router Firewall
(ARM, GPU) (Swift)
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25. Integration of Cloud OS Storage
System with OpenStack
User portal
Web Services
User (OpenStack VDCM LOG PDCM PDCM User
API enabled)
VMM L2 PRM
Nova API Glance
Nova Manager DB DMS
VM1 VM2… VMn Nova Volume volume
…
Nova Compute Nova Network
SECS
RS
SLB
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26. Summary of Advantages
Feature Benefits
Unlimited storage highly scalable read/write access
Leverages commodity hardware (JBOD) No lock-in, lower price/GB
Built-in replication Fully redundant (default: N=3)
Used as system volume Save Image, Fast Boot, etc.
Thin Provisioning Optimize utilization of available storage
Highly available (HA) storage servers Server failover for high available
(DMS/DSS)
Snapshot and backup for block volumes Data protection and recovery for VM data
Policy based backup Free of worry – set it and forget about it
Wide-area data backup For disaster recovering
Block-level data de-duplication Store more data in the limited space
Standalone volume API, CLI available Easy integration with other compute systems
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27. More Feature in V2.0
Feature Benefits
Volume Cloning Fast cloning without copying data
Share virtual disk within cluster Support sharing of volume and cluster file system
Disk bandwidth QoS guarantee Dynamic adjustment at I/O request level
Storage space optimization N-way replication for write-intensive blocks
N-parity-group for read-intensive blocks
Wide-area data replication Near real-time wide-area replication
Integration with Compute / Volume Fully integrated to Compute for attaching block
volumes and reporting on usage
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28. Q&A
Thank You !
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