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Scale-out NAS for Online Archiving
Redefining the Economics of Owning and Growing Large-scale Archives at Photobox
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March 19, 20092:00 p.m. Eastern / 11:00 a.m. Pacific60 minutes
Monolithic scale-up systems
Require over-provisioning
Force partitioning of data sets
RAID, LUNs, volumes
Inefficient data protection
Lacks reliability at scale
Actual used storage—very low
Storage complexity
Increases management cost
Slows responsiveness to change
Online Archiving Challenges
Inflated CapEx & OpEx costs
Ongoing H/W purchase costs
High recurring costs of managing & scaling archives
Storage inefficiency
Files use unnecessary space
Low utilization rates
High cost of ownership
Management complexity
Power, cooling, floor space
CHALLENGES ARCHITECTURAL ISSUES
File-based Data is Rapidly Proliferating
0
5000
10000
15000
20000
25000
30000
35000
2005 2006 2007 2008 2009 2010 2011
Worldwide File And Block Disk Storage Systems, 2005-2011*
(PB
)
File Based: 79.3% CAGR
Block Based: 31% CAGR
By 2011, 75% of all storage capacity sold
will be for file-based data
* Source: IDC
Performance vs. Capacity:Data Usage Trends
Access
Time
Storage Growth
80% of GBps /
IOPS
80% of the
TB
Maximum Efficiency
Lowest Cost Possible
Capacity Scalability
Throughput and IO
Rapid Concurrent Access
Performance Scalability
Evolution of storage
Sun (100GB)
NAS (30TB)
JBODs (200TB)
Isilon (1PB)
Isln +Ocarina
Year 2000 2001 2004 2007 2008
the largest online consumer photo site in Europe
Photobox Capacity Optimization Goals
Right-size capacity
Start small; low risk
Pay-as-you-grow – just-in-time, non-disruptively
Maintain service levels
Confidence, storage integrity
Accessible 24x7x365
Reliable and professionally maintained
Two Tiered storage model—hot vs. cold
Maximize efficiency
Highest usable storage
Optimized for small & large files
Bit-for-bit lossless
Reduce TCO
Storage is free for our customers
Avoid complexity; reduce stafftime
Energy is 75% of hosting costs ( > $500K this year )
Must increase density!
Photobox Results
Business Challenge
• Right-size
• Maintain SLAs
• Maximize efficiency
• Reduce TCO
Solution and ROI
• 30-percent data reduction
• 45% storage CapEx reduction
• $300K realized savings—ROI in 6 months
• Slowed new hardware purchase
We needed a proven and reliable storage solution to increase density and optimize our existing infrastructure. We are reducing rack space and power footprint and slowing the rate of hardware purchases.
With Ocarina for Isilon, we have significantly reduced energy consumption and data footprint—all without compromising image quality.
--Graham Hobson, CTO
The Ocarina ECOsystem for Isilon Scale-out NAS Solution for Data Reduction
Isilon High-EfficiencyScale-out NAS Storage
Precision Right-Sizing
Start small (from a few TB)
Pay-as-you-grow (up to 3.4 PB)
Maximize Storage Efficiency
Data protection and layout
High-density for minimized power, cooling & floor space
Reduce TCO
Extreme ease of use
Manage far more with less
IQ 36 NL
Ocarina File-AwareData Reduction
Reduce Data Footprint
Up to 10-to-1 ratios
Maximize utilization of any Isilon clustered storage product line
Transparent
Seamlessly fits into workflow
Free up space as needed
Lossless and Immediate
Maintain original image quality
Auditable, bit-for-bit optimization
Maximize Efficiency and Reduce TCO by 35%
Minimizing Acquisition Cost –Precision Right-sizing
Start small
From 10 TB to 250 TB
Pay-as-you-grow
Always maintain the single file system presentation
Scale in small, easy increments
Non-disruptively scale capacity up to 3.4 PB in a single cluster
Zero time & effort to scale
Add capacity and performance to a cluster in minutes
EX-Series
CAPACITY NODES
NL-Series
Adds incremental capacity
Pay-as-grow non-disruptively
Non-disruptive Namespace Scalability
S-Series
X-Series
PLATFORM NODES
Linear Scaling of Performance & CapacityIndependent Performance Scaling
Accelerators
PURE PERFORMANCE
EX-Series
CAPACITY NODES
NL-Series
Independent Capacity Scaling
Maximize Storage EfficiencyScale-up vs. Scale-out Architecture Considerations
Source: The Total Economic Impact of Isilon’s Clustered Storage System, Forrester 2008
Storage Efficiency Considerations
System Architecture Traditional NAS (NetApp) Scale-out NAS (Isilon)
Parity / System Overhead25 – 45%
(Includes physical hot spares)
13 – 33%
(Includes virtual hot spares)
Utilization Rates 50 – 65% 70 – 90%
Scalability DesignMonolithic: scale-up capacity only
(performance is static)Modular: scale-out performance
and capacity
Pay-as-you-grow File System Capabilities
Scale single FS capacity to 16TB Linear scale capacity to 3.4PB
Data Reduction Technique (Compression / Dedupe)
Conventional NAS solutions only deduplicate blocks, not objects;
features are not file-aware
30 to 80-percent savings for files using Ocarina for Isilon IQ file-aware
compression and deduplication
The Ocarina ECOsystem for Isilon Scale-out NAS
Extract Correlate Optimize
Extract information to
its uncompressed
original file formats
Identify subfile
boundaries
Dedupe subfiles within
and across files
Apply content-aware
compressors to unique
subfiles and store in
Ocarina suitcases
ZIPPPT
WORD
PNG
JPG
TXT
PNG
TXT
TXT
JPG
JPG
JPG
Ocarina finds both
exact and similar
matches
Ocarina Reader
Storage Optimization on OneFS
• Reads files from OneFS
• Re-expands to check data
• Saves optimized Ocarina Suitcase
Ocarina Optimizer
• Reader: expands files
stored in OneFS for
access in real time
Photo Sites File Savings Examples
Media File Type Extension Reduction
JPEG .jpg 35%
JPEG Sets .jpg 55%
GIF .gif 55%
Photoshop .psd 35%
Windows Bitmap .bmp 55%
PNG .png 60%
TIFF .tif 60%
Corel Draw .cdx 35%
Photo Sites
Weighted Mix
40%
Industry Reactions
Data reduction technologies like Ocarina are transformational as they
significantly reduce the capacity requirements for storage.
~ Dave Russell, Gartner Research Vice President
Technologies such as Ocarina's file optimization revolutionize how
efficiently data is written to disk or tape.
~Noemi Greyzdorf, IDC
Isilon’s scale-out file storage is inherently more power efficient than NAS
silos—adding what you need in granular increments, versus the gross over-
provisioning that normally accompanies monolithic infrastructure silos.
Adding processing power independently saves floor and rack space,
improves performance, and significantly reduces power consumption.
~ Terri McClure, Senior Analyst, Enterprise Strategy Group
How the TCO ComparesIf traditional NAS hardware were free – Isilon still offers a better 3-year TCO
Why this happens:
Staffing – ease of management
Storage utilization
Effectively scale reliably
Business Impact – Isilon is a better way to spend corporate money –
freeing money to fund innovation and sustain the business
Source: The Total Economic Impact of Isilon’s Clustered Storage System, Forrester 2008
Sample Archiving Customers
Summary
Efficiency tied to storage architecture and file formats
• Isilon provides unmatched efficiency through scale-out NAS
• Ocarina provides 30- to 90-percent data reduction rates through content-aware compression and deduplication
The online archive solution for Photobox provides
• Storage CapEx reduction of 45%
• TCO reduction of at least 35%
• ROI realized in first 6 months: $300K
• 30-percent data reduction for compressed image files
• Original image quality maintained—zero loss in bit-for-bit quality.
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