right data right place right time: automated data tiering - mike klemm, distinguished engineer and...
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Right data right place right time: automated data tiering
Mike KlemmDistinguished Engineer
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Right data right place right time: automated data tiering
Lazarus VekiaridesExec. Director, EqualLogic Software Engineering
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Fluid Data tenets: engineered to move your business forward
Better togeth
er
Best ownershi
p experienc
e
Innovative
licensing
Maximum efficiency
Dynamictiering
Native cloud
integration
Scale-out designs
Self protectin
g
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Data growth and its impacts
1 Horizon Information Strategies, Storage Facts, Figures, Best Practices and Estimates, April 20112 IDC, Worldwide Enterprise Storage Systems 2011-2015 Forecast: “Emerging” Once Again is a Keyword in the Storage Market, #228255, May 2011
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
WW Enterprise Storage Capacity Shipped (Petabytes)2
48% CAGRgrowth in storage capacity requirements
46%time of storage staff spent on operations1
Storage Administration
Total Hours
Provisioning
Migrations
Backup
Storage budget is hardware1
amount of storage typically underutilized
zSer
ies
iSer
ies
Unix/
Linu
x
Win
dows
0
20
40
60
80
Average Disk Allocation Levels
(upper/lower range shown)2
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Per-GB costs for high-capacity storage can be
1/30th the cost of high-performance storage *
5
*Cost multiples are estimates only, based on recent component cost data, and subject to change.
Reduces costs• Aligns inactive data
with capacity-optimized storage
Improves performance• Aligns demanding
applications with performance optimized storage
Storage tiering provides two benefits
30XTier 1
3XTier 2
XTier 3P
erf
orm
an
ce
Cost
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Not all tiering is created equal
Volume
Storage pool
• Complete virtualization of storage
• Granular approach
• Intelligent automation
• Non-disruptive data movement
• Performance and capacity optimization
Metadata: information about
each block
Read20
timessince
12:05:09...
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Dell storage tiering approaches
Compellent Data Progression
EqualLogic Load Balancing
• Optimizes data placement across 3 tiers
• Balances across multiple axes– Drive type– RAID level– Platter location
• Optimizes data placement and network load
• Balances load in a pool of arrays
– Capacity– Performance
• Balances load within a hybrid array
• Highly virtualized, IP-based storage with a peer-scale architecture
• Ideal for IT generalist
• Multi-protocol, core storage for the enterprise and critical workloads
• Custom-tuned by storage administrator
Capabilities Use cases
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NetworkI/O balancing and MPIO
EqualLogic automated tiering
Capacity Manages disk utilization
Automatic performance Optimizes high I/O data distribution throughout the pool
Hybrid arrayDistributes high I/O data throughout the array
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Latency: 2 ms Latency: 2 ms
Automatic load balancing
EqualLogic SAN
Latency: 1 ms Latency: 4 ms
Spreads data across all available resources
• Dynamically adjust to workloads
• Real time I/O balancing
• Move hot and cold data
• Improves performance
• Capacity balancing
• Access frequency vs. array latency
SSD NL-SASSSD NL-SAS
Storage pool
Array 1 Array 2
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Prioritize placement for application optimization and maximum value
• First place data on SSD
• Move data to HDD
• Frequent access = hot data
• Move hot data to SSD
• A portion of SSD can be used as controller write cache extension
• Very different than SSD cache
Hybrid arrays: auto tiering within the array
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Virtualized, automated SAN-wide tiering
Solution • Tier 1: 1 PS6010XVS• Tier 2: 5 PS6510XV • Tier 3: 3 PS6510X• 250 VMware vSphere™ VMs running
Microsoft™ SQL Server® and other business applications
Results• 2X improvement in query
performance• 80X faster creation of new
customer environments• 100% availability over 16 months –
zero need for planned downtime
“Dell EqualLogic greatly simplifies the process of adding a new SAN…. The firmware automatically begins load balancing to the new array, with no downtime.”
Robert ScarbroughVice President, Technical OperationsOptumInsight
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MetadataTracks page usage within volumes
Compellent automated tiering
MigratesBetween tiers, RAIDs and within drives
WritesDirectly to tier 1
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Data progressionDaily data movement• Default start time is 7 p.m.• Data is moved per page• Historical Replay pages
eligible to move to lowest tier immediately
• Data progression will run against multiple volumes at the same time
RAID restripe occurs• Adding additional drives
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Fast Track
• Places the busiest pages on the outer portion of the drive – the “Fast Tracks”
• Uses the same data movement engine as data progression
• Data is moved when progression runs
Full disk drive With fast track
The most active blocks are dynamically and automatically
placed on outer edge
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Efficient operations at cloud scale
Solution • Compellent SAN:
– Tier 1: 9 SSDs – Tier 2: 15K RPM Fibre Channel – Tier 3: 7,200 RPM SATA drives
• 29 VMs running SAP applications on 4 Dell PowerEdgeR710 servers
Results• Performance gains from 80% to
400% • Full backups down from 16 to 6
hours• System-wide snapshot process now
takes 30 seconds
“Thanks to the way the architecture manages data at the block level, we discovered we could perform I/O writes to the storage system very rapidly.”
Kai SookwongseMazda North American Operations
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How Fluid Cache tier works
Low-latency interconnectStorage network
Fluid cache SW
PCIE SSD
• Extension of fluid data tiering
• Cluster-wide cache pool
• H/A through redundant cache writes
• Ease of management
• Full integration with array data protection
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Confidential
Accelerating efficiencies
High Availability • Fault tolerant between nodes
Unprecedented Performance• Accelerate applications by up to 30X*
over traditional SAN with rotating media
• Increase the number of users per server by 10X
Efficient• Double the number of VMs per server• Reduce infrastructure support by 1/6
for same user count and SLAs
Better together• Systems management for server and
SAN work in concert • Largest working data set for cache with
full coherency to SAN
* Garner #G00231588 IOPS HDD vs. SSD
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Dell Fluid Data architectureThe right data in the right place at the right time for the right cost
Primarystorage
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Backupto disk and tape
Applicationservers
CloudObject-based archive
X = relative performanceTier 3
3XTier 2
30XTier 1
100X Tier 0
Fluid Cache tier
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