SlideShare a Scribd company logo
FLASH 1st
                                            The Storage Strategy
                                            for the Next Decade

                                              Denis Vilfort
                                              Sr. Director, USD Marketing




© Copyright 2012 EMC Corporation. All rights reserved.                      1
Information Tipping Point Ahead
The future will be nothing like the past

 140,000

 120,000
                                                                                                        Data
                                                                A 10TB data center in
                             110X
 100,000
                                                                2001growing at 60% YoY
   80,000
                                                                will be a 120 Petabyte
                                                                                We
                                                                data center by 2021, - but
   60,000                     MORE DATA                                         are
                             EACH DECADE                        IT budgets remain flat                  Automation
   40,000
                                                                              Here
   20,000
                                                                                                      Budget
            0
                2000                  2003               2006       2009      2012      2015   2018        2021




© Copyright 2011 EMC Corporation. All rights reserved.                                                               2
Most Data Will be Stone Cold
While we increasingly can’t erase data, we can store it better


                                                               4,123
                                                                       110 X
              37.5
               TB
                                                                 TB

2011




2021


               Hot              Warm                Cold


                                           Evolution of 50 TBs in 10 Years


© Copyright 2011 EMC Corporation. All rights reserved.                         3
Why Disk Aggregation is Losing Steam
Moore’s Law drives the escalating need for IO transactions

                                                   The Number of Drives Needed
                                                        per Host over Time
                                                                                                                                         262,833



                                                                                         We
                                                                                         are                                        164,682
                                                                                        Here
                                                 ?                                                                             103,184

                                                                                                                          64,652
                                                                                                                     40,509
                                                                                                               25,381
                                                                                                   9,964 15,903
      23      36       58       93      148      237     378   603   962 1,536 2,451 3,912 6,243

    2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020




© Copyright 2011 EMC Corporation. All rights reserved.                                                                                             4
The CPU to HDD Performance Gap
CPU improves 100 times every decade – disk speed hasn’t

                                             CPU continue to improve
          MOORE’S LAW:
                                             while disk drive

       100X                                  performance remains flat.

                                             As a result, applications
               per                           will suffer more and more
                                             unless we rapidly move to
             DECADE                          FLASH.


                                                                                    10,000 times
                                                                            FLASH    improved

                                                                100 times
                                                                improved


                    2000                                            2010                2020




© Copyright 2011 EMC Corporation. All rights reserved.                                             5
Anatomy of a Enterprise FLASH Drive
Designed for reliability, data integrity and performance
                                                          Controller




                                                                          SLC NAND
                                                                           FLASH

        SAS or SATA
          ports




                                                                  DRAM

                                                         End to End CRC




© Copyright 2011 EMC Corporation. All rights reserved.                               6
Comparing Associated Costs
Which technology is the most efficient?
                       Capacity Acquisition Cost                                                   Capacity Power Cost
                  $-        $5        $10        $15     $20         $25   $30              0       5       10       15       20    25       30

      15K HDD                                                                     15K HDD

    7200 HDD                            Lowest Capacity Cost                     7200 HDD

         FLASH                                                                      FLASH

                       FLASH                7200 HDD             15K HDD                           FLASH           7200 HDD        15K HDD
      $/GB             $24.75                 $0.46               $1.80           mWatt/GB           25               4              28




                  Transaction Acquisition Cost                                                  Transaction Power Cost
                  $-             $5              $10           $15         $20               0.0            50.0          100.0          150.0

      15K HDD                                                                      15K HDD

    7200 HDD                                                                      7200 HDD

         FLASH                              Lowest Transaction Cost                  FLASH

                        FLASH               7200 HDD             15K HDD                            FLASH          7200 HDD        15K HDD
      $/IOPS            $0.99                $15.28               $6.00           mWatt/IOPS         1.0             133.3           94.4




© Copyright 2011 EMC Corporation. All rights reserved.                                                                                            7
Two Major Components of Your SLA
Transaction and Capacity support needed by the business?

                                                               Lowest $/IO
                                   SLA Target

                                                         SLA
                                                                         SSD
          Needed Transactions




                                   $                           Lowest $/GB

                                                                        NL-HDD
                                Needed Capacity




© Copyright 2011 EMC Corporation. All rights reserved.                           8
FLASH Becomes More Affordable
Projected to fall below $1/GB by 2018




                                                         40%         Consumer electronics keep
                                                                     driving FLASH FAB capacity
                                                                     up. As a result, FLASH
                                                         LOWER       NAND prices will continue
                                                                     to fall
                                                         EACH YEAR




© Copyright 2011 EMC Corporation. All rights reserved.                                            9
ROI Improvement Decade Outlook
FLASH technology will improve faster than mechanical drives

       1000.0




         100.0
                                                                                       FLASH STORAGE


          10.0                                                                                                    29X
                                                         MECH. STORAGE                                             MORE
                                                                                                                 IMPROVED


            1.0




            0.1
                       2010           2011               2012   2013     2014   2015     2016   2017    2018    2019    2020
     IOPS per $         0.1            0.3                0.7    1.6      3.7    8.6     20.2   47.1    109.8   256.3   598.0
     GB per $           0.7             1.1              1.9    3.1      5.1    8.6      14.3    23.8   39.7    66.2    110.3




© Copyright 2011 EMC Corporation. All rights reserved.                                                                          10
The VNX5500-F
High performance, high availability FLASH Array




© Copyright 2011 EMC Corporation. All rights reserved.   11
The EMC VNX 5500-F Flash Array
Proven high availability and consistent high performance
                                                         • 5 x 9’s availability for mission critical


                            10X
                                                           applications
                                                             – RAID data protection, proactive global
                                                               sparing, replication, EMC quality Enterprise
                                                               Flash
                            TRANSACTIONS
                                                         • Starter configuration at 2 or 4TB of

                            1/8 th                         Flash
                                                             – 25 X 2.5” drives, with 100GB or 200GB SLC
                                                               SSDs
                              THE COST
                                                         • Advanced data efficiency services
                                                             – Compression, De-dupe, and Thin
                                                               Provisioning doubles usable capacity
                                                         • Full unified protocol support
                                                             – CIFS, NFS, pNFS, iSCSI, FCP and FCoE
                                                         • Expandable to Tiered Storage with FAST
                                                             – From 49 TB of Flash to 675 TB of tiered
                                                               storage (Flash, SAS, NL-SAS) as data ages



© Copyright 2011 EMC Corporation. All rights reserved.                                                        12
The FLASH 1st Data Management Strategy
Hot data on fast FLASH SSDs—cold data on dense disks

                          “Hot”
                          high activity
                                                Highly active data is               As data ages, activity falls,
                                                     stored on                         triggering automatic
                                                  FLASH SSDs for                        movement to high
                                                         fastest                     capacity disk drives for
                                                     response time                          lowest cost
          Data Activity




                                                                                                High
                                                         FLASH                                  Cap.
                                                          SSD                                   HDD



                                 Movement
                                 Trigger                                                                             “Cold”
                                                                                                                    low activity


                                                                     Data Age (5 years)



© Copyright 2011 EMC Corporation. All rights reserved.                                                                             13
Gaining Economic Efficiency
FLASH SSDs for active transactions & 3TB HDD for overflow

                   1.2                                                  • FLASH SSDs offers highest
                                                                          transaction efficiency
                    1        FLASH SSD
                                                                        • Large capacity HDD offers
                   0.8                                                    highest capacity efficiency
                                                                        • High RPM HDDs are not capacity-
      IOPS per $




                   0.6
                                         FAST                            efficient nor are they
                   0.4                    VP                             performance-efficient
                                                                        • FAST VP automatically and
                   0.2
                             15K
                                                                          seamlessly optimizes data
                    0
                             HDD                3TB HDD                   across all disk technologies
                         0         0.5      1           1.5   2   2.5
                                                GB per $




© Copyright 2011 EMC Corporation. All rights reserved.                                                      14
Today’s Compute Hierarchy
Right data. Right Place. Right Cost.

                                                              Multi-Core/Socket CPUs
                                                         pS   − pS latency



                                                              DDR4 - 4.266GHz RAM
                                                         nS   − 7 to 200nS latency

         FAST Cache
                                                              200GB FLASH SSDs
                                                         uS   − 20 to 320 uS latency
           FAST
       Virtual Pools
                                                              3TB HDDs
                                                         mS   − 7 to 34 mS latency




© Copyright 2011 EMC Corporation. All rights reserved.                                 15
Optimizing Your VNX Deployment
Lowest $/IOPS and lowest $/GB




                                          Max System IOPS
                          Transactions




                                                  Add SSDs                         Add HDDs
                                                for more IOPS                  for more Capacity

                                                                System Scale




© Copyright 2011 EMC Corporation. All rights reserved.                                             16
Hybrid Systems
A little FLASH goes a long way


                                                                                           90

                            SSDs                              HDDs



                                                                                 85       910


                                                                       70       415
                                                         50           180
                    45                                   75
                     30
              VNX5100                              VNX5300           VNX5500   VNX5700   VNX7500



© Copyright 2011 EMC Corporation. All rights reserved.                                             17
The FAST Suite
Dynamically optimizes IO for FLASH 1st at a 64K page size
                                                                             • FAST Cache
                    FAST Cache - FAST VP Relationship                            – Caches data from the
                                                                                   HDD or NL-HDD tiers in
                                              Controller
                                                                                   the pool
                                                                                 – Operates at a page
                                                                                   granularity of 64K

                                                                             • FAST VP
                                                           FAST Cache            – Dynamically moves data
                                                                                   between tiers in the
                                                               64K
                                             64K
                                                                                   storage pool
                                                                                 – Operates at a slice
                                                                                   granularity of 1GB
                                                   64K


                                                                        1G
    SSD              HDD                                   NL-HDD
                                                                             • Deploying both together
                                           FAST Virtual Pool                   ensures maximum IO
                                                                               granularity


© Copyright 2011 EMC Corporation. All rights reserved.                                                      18
IO Skew
Random slice activity
  1000                                                   1000
    900                                                   900
    800                                                   800
    700                                                   700
    600                                                   600
    500                                                   500                            All
    400                                                   400                            80%
    300                                                   300
    200                                                   200
    100
                                                          100
       0
                                                            0
             1
             6
            11
            16
            21
            26
            31
            36
            41
            46
            51
            56
            61
            66
            71
            76
            81
            86
            91
            96
           101




                                                                 1
                                                                 7
                                                                13
                                                                19
                                                                25
                                                                31
                                                                37
                                                                43
                                                                49
                                                                55
                                                                61
                                                                67
                                                                73
                                                                79
                                                                85
                                                                91
                                                                97
• Slice activity 100% randomized                         • Slice activity stack ranked
                                                           according to access frequency of
                                                           a given slice
                                                         • 51 slices of 101 has 80% of IO


© Copyright 2011 EMC Corporation. All rights reserved.                                         19
IO Skew
Random slice activity weighted by 3% cooling rate


 1000
   900
   800
   700
   600
                                                                 • Stack ranked slice map
   500                                                   All       weighted by a 3% cooling rate
   400                                                   "80%"
   300
                                                                 • Now only 31 slices of 101 total
   200                                                             has 80% of IO
   100
      0
            1
            6
           11
           16
           21
           26
           31
           36
           41
           46
           51
           56
           61
           66
           71
           76
           81
           86
           91
           96
          101




© Copyright 2011 EMC Corporation. All rights reserved.                                               20
Examples of IO Skew
Driven by Data Growth and Business Models

                             Very             Growth: 60%                Std.   Growth: 50%
                             High             Days Hot: 10                      Days Hot: 60

                             Skew             1% of data = 80% of IO     Skew   5.5% of data = 80% of IO




                             High             Growth: 100%
                                              Days Hot: 30
                                                                          Low   Growth: 50%
                                                                                Days Hot: 90
                             Skew             4.2% of data = 80% of IO   Skew   8.2% of data = 80% of IO




© Copyright 2011 EMC Corporation. All rights reserved.                                                     21
How Much FLASH?
Used dynamically with FAST

                       Size of FLASH FIFO                • Data follows a predictable
                                                           decay in activity
                           Amount of Data being
                           created daily                 • Older data is constantly
                                                           being replaced by new
                                                           highly active data
                                                         • The amount of FLASH
                               FLASH Capacity              required is determined by:
                                                            – The amount of data created
                                                              each day, and
                             Number of Days of              – The period of time it takes
                             High Data Activity               to cool


© Copyright 2011 EMC Corporation. All rights reserved.                                      22
Modeling “Data Decay”
A simple GB-Day state model describes typical data behavior



                                                                  P = (1-C) A, and
  Probability of data access




                                                                   A = LOG1-C (P)
                                                         Where:
                                                                  P is Probability of data access
                                                                  C is daily Cooling rate
                                                                  A is data Age in days


                               Hot



                                                            1GB data age in days


© Copyright 2011 EMC Corporation. All rights reserved.                                              23
Modeling “Data Decay”
A simple GB-Day state model describes typical data behavior



                                                                  P = (1-C) A, and
                                                                   A = LOG1-C (P)
  Hot




                                                         Where:
                                                                  P is Probability of data access
                                              State               C is daily Cooling rate
                                              Change              A is data Age in days
  Cold




                             Hot                                          Cold



                                                            1GB data age in days


© Copyright 2011 EMC Corporation. All rights reserved.                                              24
Basic Data Decay Model
             Cache
             FAST




                                                         • The basic storage pool distribution model
                                                           assumes FLASH as the first line of defense
             20%
                                                           for 80% of all IOs

                                                         • As an additional performance buffer, 15K
             FLASH Tier




                                                           drives are used for overflow for 19% of all
                                                           IOs

                                                         • Only a 1% chance remains that any IOs will
                                                           be serviced from slow 2TB drives
            60%
             15K




               1%
                            7 days           52days                          250 days




© Copyright 2011 EMC Corporation. All rights reserved.                                                   25
How Long Does Data Stay Hot?
Depends on business model, applications and workload

                                                                                                            Daily
                                                                                           Hot Days      cooling rate
                                                                                                           @ 80%
                                                                                             30             5.2%
                                                                                             60             2.7%
      Hot




                                                                                             90             1.8%
                                                                                             120            1.4%
      Cold




                                                 30 days          60 days        90 days              120 days

                                                           Days of high data activity


© Copyright 2011 EMC Corporation. All rights reserved.                                                                  26
FLASH Percentage
A function of data growth and service level


                                                         • Relative more FLASH
                                                           is needed when:
                                                            – Service level (FLASH
                                                              hit rate) is elected
                                                              high, and
FLASH portion




                                                            – Data growth is high
                                                         • More than 25%
                                                           FLASH is highly
                                                          unlikely!

                                 Data Growth Rate




© Copyright 2011 EMC Corporation. All rights reserved.                               27
Getting the Right Blend of Flash
3 fundamental business questions

                                                         • How much data is under
                                                           management today?
                                                          30 TBs

                                                         • How much is your data
                                                           growing each year?
                                                          50% YoY

                                                         • How long does your data
                                                           stay hot?
                                                          60 days




© Copyright 2011 EMC Corporation. All rights reserved.                               28
Calculating Net New Data
Net new is a function of amount of starting data and growth



                         50% Growth Rate                          • 50% of 30TB is 15TB


                                                          15      • The average amount of data
                                                                    generated each day:
                                                                     – 15 X 1024 GB / 365 =
                                                                       42 GB per day

                   30                                    30

                   Start                                 Year 1




© Copyright 2011 EMC Corporation. All rights reserved.                                           29
Calculating Needed FLASH
FLASH only needs to be large enough to hold hot data



                             FLASH portion                        • FLASH capacity:
                                                         2.5         – 60 days X 42 GB =
                 Needed FLASH
                                                                       2,520 GB
                                                         12.5
                                                                  • FLASH Percentage:
                                                                     – FLASH Capacity/Total
                                                                       Capacity
                   30                                    30          – 2,520 GB/(45 X 1024) GB X
                                                                       100 =
                                                                       5.4%
                   Start                                 Year 1




© Copyright 2011 EMC Corporation. All rights reserved.                                             30
Calculating How Much FLASH
                   FLASH                                                Yearly Growth Rate% X Number of Hot Days X 100
                                                         FLASH % =
                   Portion                                                    365 X (Yearly Growth Rate% + 100%)



                                                                      FLASH portion
                                                            as a function of Yearly Data Growth
                                       18%
                                       16%
                     of storage pool
                     FLASH portion




                                       14%
                                       12%
                                       10%
                                        8%
                                        6%
                                        4%
                                        2%
                                        0%
                                             10%          20%    30%    40%     50%     60%       70%   80%    90%       100%
                    30 days Hot              1%           1%     2%     2%       3%      3%        3%    4%     4%        4%
                    60 days Hot              1%           3%     4%     5%       5%      6%        7%    7%     8%        8%
                    90 days Hot              2%           4%     6%     7%       8%      9%       10%   11%    12%       12%
                    120 days Hot             3%           5%     8%     9%      11%     12%       14%   15%    16%       16%




© Copyright 2011 EMC Corporation. All rights reserved.                                                                          31
Using the Business Data to Configure
With no trace data, the model is used

                                                                                        • The SSD tier retains
                                                                                          a 80% probability of
                           SSD                                                            data re-use
                                                                                        • An 15K HDD tier is
                                                                            3-Tier        used as overflow
                                                                                          with a 19% chance
                                          60                       178    FLASH 1st       of data re-use
  Hot




                                                                                        • Finally, the NL-HDD
                                         days                      days
                                                                           Strategy       tier is used for long
                                                                                          term online storage
                                                                                          with a 1% chance
                                                                                          and lower of data re-
                                                                                          use



                                                         15K-HDD
  Cold




                                                                               NL-HDD




© Copyright 2011 EMC Corporation. All rights reserved.                                                            32
Configuration Example
30TB usable , 50% growth, 60 days hot @ 80% FLASH service




               VNX5500                                                     VNX5300
        Large Foot Print                                              Smaller Foot Print
        200 SAS 15K HDDs                                              SSDs for FAST Cache         4
                                                                      SSDs for FAST VP           20
                                                                      15K SAS HDDs for FAST VP   15
                                                                      NL-SAS HDDs for FAST VP    24
                                                                      TOTAL                      63



              $380,573                                                    $182,882

                                                         Monolithic


© Copyright 2011 EMC Corporation. All rights reserved.                                                33
Tangible Business Benefits
Dramatically lower cost and higher transaction support
                             $ per Usable GB                       Yearly Power Consumption

       With FAST               $3.97                        With FAST     7,030



 Without FAST                                $8.26       Without FAST               30,660




                          Disk Slots Needed                             Transactions Supported

       With FAST             63                             With FAST               36,686


 Without FAST                                 200        Without FAST      15,050




© Copyright 2011 EMC Corporation. All rights reserved.                                           34
12.5X Compounded Improvement in ROI
$/GB and $/IO is improves simultaneously

                                                   ROI Improvement from FLASH 1st
                     0.25
                                                                                      0.25 GB/$
                     0.20                                                             0.20 IO/$
 IOPS per Budget $




                     0.15
                                                                                                     5X
                     0.10

                     0.05                                0.1 GB/$
                                                         0.04 IO/$
                     0.00
                         0.00                 0.05          0.10          0.15 2.5X  0.20     0.25        0.30
                                                                     GB per Budget $



© Copyright 2011 EMC Corporation. All rights reserved.                                                           35
Data Strategy Matrix
Technology differentiated data placement strategy


                                                                  Shared NL HDD    Dedicated PCIe FLASH



                                                         Read

                                                                                         Automation
                                                         Write




                                                                  Shared 15K HDD    Shared FLASH SSD


                                                                 Low Activity      High Activity




© Copyright 2011 EMC Corporation. All rights reserved.                                                    36
Virtualization Further Pressures Storage
Moore’s law and better CPU utilization drives IOPS need

                              32 cores                                     32 cores          32 cores                           32 cores
                              1M IOPS                                      1M IOPS           1M IOPS                            1M IOPS

                                                                                  2M
                                                                                 IOPS



                                                                                        • Application management - like
                                                                                          vMotion – requires shared storage
                         NEED for                                               200K    • A performance budget of 1M IOPS per
                                                                                          host is now a reality
                                                                                IOPS    • Shared storage risks becoming
                          SPEED                                                           bottleneck in high performance
                                                                                          virtualization deployments



  Note: 2M host pressure IOPS is based on 50% storage side IOPS per host




© Copyright 2011 EMC Corporation. All rights reserved.                                                                                     37
VNX Virtualized Cloud Architecture
Host-side read caching multiplies performance

                                                                              Performance Scale




                                                                                   2M
                                                                                  IOPS


                         10X
                                                                                                  • Scale out for “hot data” and read
                                                                                                    performance with FLASH based host-
                                                             Capacity Scale




                                                                                                    side caching
                                                                                                  • Scale up for deep archive of “cold
                                                                                                    data”
                                                                                                  • All writes are protected by
                                 BETTER                                                             synchronous cache mirroring to
                                                                                                    DRAM & FLASH in central array
                      PERFORMANCE
  Note: 2M storage IOPS is based on 90%/10% read/write mix




© Copyright 2011 EMC Corporation. All rights reserved.                                                                                   38
High Performance Storage Hierarchy
The data continuum is FLASH centric and extends to the host

                                                                                • Host-side read FLASH
                                                                                  caching shields data from


                                                                  Working Set
                                                         50uS                     SAN and array latency
                                PCIe FLASH
                                                                                • Array-side FLASH protects
                                                                                  data against host failure
                                    SSD
                                                  200uS                         • Array-side HDDs
                                    FLASH
                                                                                  accumulates inactive data
                                                                                  at lowest cost
                                                                Inactive
                                                                  Data




                                             1,500uS
                                    HDD




© Copyright 2011 EMC Corporation. All rights reserved.                                                        39
The IO Spread: Access Density
PCIe FLASH offers 8,333X better data access than 15K HDD

                         10000

                           1000

                             100

                               10
                                                                      2,500
                                 1
                                                               25
                              0.1
                                                         0.3
                            0.01                 0.03
                                                NL-HDD   HDD   SSD   PCIe FLASH




                  Access Density: IOPS/GB




© Copyright 2011 EMC Corporation. All rights reserved.                            40
Data Continuum
As data activity falls, different technologies apply

                          “Hot”
                          high activity     VFCache
          Data Activity




                                            SSD                         Dynamic Storage
                                            FAST Cache      COST        Hierarchy differentiated
                                                            OPTIMIZED
                                            SSD                         on Access Density Cost
                                            FAST VP

                                            15K HDD
                                                                                          “Cold”
                                            NL-HDD                                       low activity


                                                         Data Age



© Copyright 2011 EMC Corporation. All rights reserved.                                                  41
Storage Efficiencies/Flash Sessions
USD          Lectures- Session Name                                                                           Day & Time
                                                                                                              Monday 10:00am - 11:00am
#7           VNX Storage Efficiencies – What, Why, and When
                                                                                                              Tuesday 11:30am - 12:30pm
             VNX Virtual Provisioning - Leveraging the Best in Efficiency and Simplicity with Virtual Pool    Tuesday 10:00am - 11:00am
#8
             Provisioning                                                                                     Wednesday 11:30am - 12:30pm
                                                                                                              Tuesday 4:15pm - 5:15pm
#9           VNX Compression and Deduplication - Optimizing Capacity for Your File and Block Infrastructure
                                                                                                              Thursday 10:00am - 11:00am
                                                                                                              Tuesday 11:30am - 12:30pm
#10          VNX FAST VP - Optimizing Performance and Utilization of Virtual Pools
                                                                                                              Thursday 8:30am - 9:30am
                                                                                                              Monday 4:00pm - 5:00pm
#11          VNX FAST Cache – Super Charge your Storage with Extended Cache
                                                                                                              Wednesday 10:00am - 11:00am
                                                                                                              Tuesday 2:45pm - 3:45pm
#12          FAST Storage Design Basics for EMC VNX
                                                                                                              Wednesday 4:15 - 5:15pm
                                                                                                              Wednesday 11:30am - 12:30pm
#13          Leveraging SSD: Designing for FAST Cache and FAST VP on Unified Block Storage
                                                                                                              Thursday 11;30am - 12:30pm
                                                                                                              Monday   8:30am - 9:30am
#25          FLASH 1st - The Storage Strategy for the Next Decade
                                                                                                              Monday   2:30pm - 3:30pm
                                                                                                              Monday 8:30am - 9:30am
FBU#1        Introduction To EMC VFCache
                                                                                                              Wednesday 4:15pm - 5:15pm
                                                                                                              Monday 4:00pm – 5:00pm
FBU#2        Leveraging EMC VFCache with Enterprise Applications
                                                                                                              Thursday 10:00am - 11:00am
BOF          Dive into EMC VNX & FAST Suite Storage Efficiencies                                              Tuesday 1:30pm - 2:30pm

BOF          Flash Technology in the Storage Environment                                                      Wednesday 1:30pm - 2:30pm




 © Copyright 2011 EMC Corporation. All rights reserved.                                                                                     42
Provide Feedback & Win!

                                                         • 125 attendees will receive $100
                                                           iTunes gift cards. To enter the
                                                           raffle, simply complete:
                                                            – 5 sessions surveys
                                                            – The conference survey
                                                         • Download the EMC World
                                                           Conference App to learn more:
                                                           emcworld.com/app




© Copyright 2011 EMC Corporation. All rights reserved.                                     43
© Copyright 2011 EMC Corporation. All rights reserved.   44
FLASH 1st
                                                                   THANK YOU

                                                                         Denis Vilfort
                                                         Sr. Director, USD Marketing




© Copyright 2011 EMC Corporation. All rights reserved.                                   45
FLASH 1st - The Storage Strategy for the Next Decade  ( EMC World 2012 )

More Related Content

What's hot

Super-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapRSuper-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapR
Data Science London
 
Australian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartney
Australian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartneyAustralian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartney
Australian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartney
IT Network marcus evans
 
IBM\'s Transformational Journey
IBM\'s Transformational JourneyIBM\'s Transformational Journey
IBM\'s Transformational Journey
WarEagle1963
 
2007 Keynote Address - To Electronics Industry Supply Chain Association
2007 Keynote Address - To Electronics Industry Supply Chain Association2007 Keynote Address - To Electronics Industry Supply Chain Association
2007 Keynote Address - To Electronics Industry Supply Chain AssociationPaul Brody
 
Solar Energy Choices Magazine3
Solar Energy Choices Magazine3Solar Energy Choices Magazine3
Solar Energy Choices Magazine3comF5
 
26 a6 emc europe - arnaud christoffel
26 a6   emc europe - arnaud christoffel26 a6   emc europe - arnaud christoffel
26 a6 emc europe - arnaud christoffelScott Adams
 
Link Capabilities Statement 2012
Link Capabilities Statement 2012Link Capabilities Statement 2012
Link Capabilities Statement 2012nbelmon
 
Sun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentationSun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentationxKinAnx
 
Sun sparc enterprise t2 systems customer presentation
Sun sparc enterprise t2 systems customer presentationSun sparc enterprise t2 systems customer presentation
Sun sparc enterprise t2 systems customer presentationxKinAnx
 

What's hot (9)

Super-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapRSuper-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapR
 
Australian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartney
Australian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartneyAustralian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartney
Australian CIO Summit 2012: DEFINING THE CURVE by Dr Gerry McCartney
 
IBM\'s Transformational Journey
IBM\'s Transformational JourneyIBM\'s Transformational Journey
IBM\'s Transformational Journey
 
2007 Keynote Address - To Electronics Industry Supply Chain Association
2007 Keynote Address - To Electronics Industry Supply Chain Association2007 Keynote Address - To Electronics Industry Supply Chain Association
2007 Keynote Address - To Electronics Industry Supply Chain Association
 
Solar Energy Choices Magazine3
Solar Energy Choices Magazine3Solar Energy Choices Magazine3
Solar Energy Choices Magazine3
 
26 a6 emc europe - arnaud christoffel
26 a6   emc europe - arnaud christoffel26 a6   emc europe - arnaud christoffel
26 a6 emc europe - arnaud christoffel
 
Link Capabilities Statement 2012
Link Capabilities Statement 2012Link Capabilities Statement 2012
Link Capabilities Statement 2012
 
Sun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentationSun sparc enterprise t5140 and t5240 servers customer presentation
Sun sparc enterprise t5140 and t5240 servers customer presentation
 
Sun sparc enterprise t2 systems customer presentation
Sun sparc enterprise t2 systems customer presentationSun sparc enterprise t2 systems customer presentation
Sun sparc enterprise t2 systems customer presentation
 

Viewers also liked

333 vnx unifiedimp_m02 block storage provisioning and management
333 vnx unifiedimp_m02 block storage provisioning and management333 vnx unifiedimp_m02 block storage provisioning and management
333 vnx unifiedimp_m02 block storage provisioning and managementxigua_521
 
How to optimize CloudLinux OS limits
How to optimize CloudLinux OS limitsHow to optimize CloudLinux OS limits
How to optimize CloudLinux OS limits
CloudLinux
 
In-Memory Computing Webcast. Market Predictions 2017
In-Memory Computing Webcast. Market Predictions 2017In-Memory Computing Webcast. Market Predictions 2017
In-Memory Computing Webcast. Market Predictions 2017
SingleStore
 
Dell EMC Future Ready Advantage
Dell EMC Future Ready AdvantageDell EMC Future Ready Advantage
Dell EMC Future Ready Advantage
Jennifer Graham
 
PPT On Dell
PPT On DellPPT On Dell
PPT On Dell
Time Rahul
 
Dell's Marketing Strategy
Dell's Marketing StrategyDell's Marketing Strategy
Dell's Marketing Strategy
KoichiTachiya
 
Dell Computer's Marketing Strategy
Dell Computer's Marketing StrategyDell Computer's Marketing Strategy
Dell Computer's Marketing Strategy
Chip Browne
 
RSA Monthly Online Fraud Report -- February 2014
RSA Monthly Online Fraud Report -- February 2014RSA Monthly Online Fraud Report -- February 2014
RSA Monthly Online Fraud Report -- February 2014
EMC
 
Diminishing marginal returns
Diminishing marginal returnsDiminishing marginal returns
Diminishing marginal returnsTravis Klein
 
Trabajo Telenchana Cristian
Trabajo Telenchana CristianTrabajo Telenchana Cristian
Trabajo Telenchana Cristian
Blanqui Tocto
 
The EMC Isilon Scale-Out Data Lake
The EMC Isilon Scale-Out Data LakeThe EMC Isilon Scale-Out Data Lake
The EMC Isilon Scale-Out Data Lake
EMC
 
Computacion software
Computacion softwareComputacion software
Computacion softwareDIMAS NUÑEZ
 
тестээр үнэлэх
тестээр үнэлэхтестээр үнэлэх
тестээр үнэлэхpvsa_8990
 
2012 key financial numbers report
2012 key financial numbers report2012 key financial numbers report
2012 key financial numbers report
Angelson Group
 
发音要领
发音要领发音要领
发音要领efsee
 

Viewers also liked (20)

Atelier Gert Voorjans
Atelier Gert VoorjansAtelier Gert Voorjans
Atelier Gert Voorjans
 
333 vnx unifiedimp_m02 block storage provisioning and management
333 vnx unifiedimp_m02 block storage provisioning and management333 vnx unifiedimp_m02 block storage provisioning and management
333 vnx unifiedimp_m02 block storage provisioning and management
 
How to optimize CloudLinux OS limits
How to optimize CloudLinux OS limitsHow to optimize CloudLinux OS limits
How to optimize CloudLinux OS limits
 
In-Memory Computing Webcast. Market Predictions 2017
In-Memory Computing Webcast. Market Predictions 2017In-Memory Computing Webcast. Market Predictions 2017
In-Memory Computing Webcast. Market Predictions 2017
 
Dell business model
Dell business modelDell business model
Dell business model
 
Dell EMC Future Ready Advantage
Dell EMC Future Ready AdvantageDell EMC Future Ready Advantage
Dell EMC Future Ready Advantage
 
PPT On Dell
PPT On DellPPT On Dell
PPT On Dell
 
Dell's Marketing Strategy
Dell's Marketing StrategyDell's Marketing Strategy
Dell's Marketing Strategy
 
Dell Computer's Marketing Strategy
Dell Computer's Marketing StrategyDell Computer's Marketing Strategy
Dell Computer's Marketing Strategy
 
RSA Monthly Online Fraud Report -- February 2014
RSA Monthly Online Fraud Report -- February 2014RSA Monthly Online Fraud Report -- February 2014
RSA Monthly Online Fraud Report -- February 2014
 
Diminishing marginal returns
Diminishing marginal returnsDiminishing marginal returns
Diminishing marginal returns
 
Trabajo Telenchana Cristian
Trabajo Telenchana CristianTrabajo Telenchana Cristian
Trabajo Telenchana Cristian
 
Trabajo cristian 2
Trabajo cristian 2Trabajo cristian 2
Trabajo cristian 2
 
The EMC Isilon Scale-Out Data Lake
The EMC Isilon Scale-Out Data LakeThe EMC Isilon Scale-Out Data Lake
The EMC Isilon Scale-Out Data Lake
 
Computacion software
Computacion softwareComputacion software
Computacion software
 
тестээр үнэлэх
тестээр үнэлэхтестээр үнэлэх
тестээр үнэлэх
 
Math
MathMath
Math
 
2012 key financial numbers report
2012 key financial numbers report2012 key financial numbers report
2012 key financial numbers report
 
发音要领
发音要领发音要领
发音要领
 
Gambia23
Gambia23Gambia23
Gambia23
 

Similar to FLASH 1st - The Storage Strategy for the Next Decade ( EMC World 2012 )

Limewood Event - EMC
Limewood Event - EMC Limewood Event - EMC
Limewood Event - EMC
BlueChipICT
 
The Rise of Big Data and On-Demand IT
The Rise of Big Data and On-Demand ITThe Rise of Big Data and On-Demand IT
The Rise of Big Data and On-Demand IT
InnoTech
 
Sujal and scott fina lb
Sujal and scott fina lbSujal and scott fina lb
Sujal and scott fina lb
Tina Jiang
 
Presentation from physical to virtual to cloud emc
Presentation   from physical to virtual to cloud emcPresentation   from physical to virtual to cloud emc
Presentation from physical to virtual to cloud emc
xKinAnx
 
IBM System X - Ondřej Lorenc
IBM System X - Ondřej LorencIBM System X - Ondřej Lorenc
IBM System X - Ondřej Lorenc
Jaroslav Prodelal
 
Brocade: Storage Networking For the Virtual Enterprise
Brocade: Storage Networking For the Virtual Enterprise Brocade: Storage Networking For the Virtual Enterprise
Brocade: Storage Networking For the Virtual Enterprise
EMC
 
Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...
Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...
Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...
Emulex Corporation
 
EMC Saudi channel presentation
EMC Saudi channel presentationEMC Saudi channel presentation
EMC Saudi channel presentationadityapuri
 
Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos
Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos
Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos syawal
 
Beverage distributor virtualizes data center
Beverage distributor virtualizes data centerBeverage distributor virtualizes data center
Beverage distributor virtualizes data center
ogrossma
 
The Top 10 Business Reasons for 10GbE iSCSI
The Top 10 Business Reasons for 10GbE iSCSIThe Top 10 Business Reasons for 10GbE iSCSI
The Top 10 Business Reasons for 10GbE iSCSI
Emulex Corporation
 
EMC's IT's Cloud Transformation, Thomas Becker, EMC
EMC's IT's Cloud Transformation, Thomas Becker, EMCEMC's IT's Cloud Transformation, Thomas Becker, EMC
EMC's IT's Cloud Transformation, Thomas Becker, EMC
CloudOps Summit
 
Cloud Economics Microsoft NZ
Cloud Economics Microsoft NZCloud Economics Microsoft NZ
Cloud Economics Microsoft NZ
Intergen
 
Deep dive why networking must fundamentally change
Deep dive why networking must fundamentally changeDeep dive why networking must fundamentally change
Deep dive why networking must fundamentally changeInterop
 
Emc - Cloud Vision and Strategy
Emc - Cloud Vision and StrategyEmc - Cloud Vision and Strategy
Emc - Cloud Vision and Strategy
Cenk Ersoy
 
Cloud Storage Overview - Currie Munce
Cloud Storage Overview - Currie MunceCloud Storage Overview - Currie Munce
Cloud Storage Overview - Currie Munce
xuyunhao
 
Enterprise Applications in 2011
Enterprise Applications in 2011Enterprise Applications in 2011
Enterprise Applications in 2011
Jean-François Caenen
 
Les solutions EMC de sauvegarde des données avec déduplication dans les envir...
Les solutions EMC de sauvegarde des données avec déduplication dans les envir...Les solutions EMC de sauvegarde des données avec déduplication dans les envir...
Les solutions EMC de sauvegarde des données avec déduplication dans les envir...ljaquet
 
BLADE Cloud Ready Network Architecture
BLADE Cloud Ready Network ArchitectureBLADE Cloud Ready Network Architecture
BLADE Cloud Ready Network Architecture
IBM System Networking
 

Similar to FLASH 1st - The Storage Strategy for the Next Decade ( EMC World 2012 ) (20)

Limewood Event - EMC
Limewood Event - EMC Limewood Event - EMC
Limewood Event - EMC
 
The Rise of Big Data and On-Demand IT
The Rise of Big Data and On-Demand ITThe Rise of Big Data and On-Demand IT
The Rise of Big Data and On-Demand IT
 
Sujal and scott fina lb
Sujal and scott fina lbSujal and scott fina lb
Sujal and scott fina lb
 
Presentation from physical to virtual to cloud emc
Presentation   from physical to virtual to cloud emcPresentation   from physical to virtual to cloud emc
Presentation from physical to virtual to cloud emc
 
IBM System X - Ondřej Lorenc
IBM System X - Ondřej LorencIBM System X - Ondřej Lorenc
IBM System X - Ondřej Lorenc
 
Brocade: Storage Networking For the Virtual Enterprise
Brocade: Storage Networking For the Virtual Enterprise Brocade: Storage Networking For the Virtual Enterprise
Brocade: Storage Networking For the Virtual Enterprise
 
Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...
Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...
Maximize Server Refresh Revenue with Emulex 8GB Fibre Channel and the Emulex ...
 
EMC Saudi channel presentation
EMC Saudi channel presentationEMC Saudi channel presentation
EMC Saudi channel presentation
 
Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos
Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos
Redshift: The Explosion of Massive Scale Systems by Dr. Greg Papadopoulos
 
Beverage distributor virtualizes data center
Beverage distributor virtualizes data centerBeverage distributor virtualizes data center
Beverage distributor virtualizes data center
 
The Top 10 Business Reasons for 10GbE iSCSI
The Top 10 Business Reasons for 10GbE iSCSIThe Top 10 Business Reasons for 10GbE iSCSI
The Top 10 Business Reasons for 10GbE iSCSI
 
EMC's IT's Cloud Transformation, Thomas Becker, EMC
EMC's IT's Cloud Transformation, Thomas Becker, EMCEMC's IT's Cloud Transformation, Thomas Becker, EMC
EMC's IT's Cloud Transformation, Thomas Becker, EMC
 
Cloud Economics Microsoft NZ
Cloud Economics Microsoft NZCloud Economics Microsoft NZ
Cloud Economics Microsoft NZ
 
3 d ic
3 d ic3 d ic
3 d ic
 
Deep dive why networking must fundamentally change
Deep dive why networking must fundamentally changeDeep dive why networking must fundamentally change
Deep dive why networking must fundamentally change
 
Emc - Cloud Vision and Strategy
Emc - Cloud Vision and StrategyEmc - Cloud Vision and Strategy
Emc - Cloud Vision and Strategy
 
Cloud Storage Overview - Currie Munce
Cloud Storage Overview - Currie MunceCloud Storage Overview - Currie Munce
Cloud Storage Overview - Currie Munce
 
Enterprise Applications in 2011
Enterprise Applications in 2011Enterprise Applications in 2011
Enterprise Applications in 2011
 
Les solutions EMC de sauvegarde des données avec déduplication dans les envir...
Les solutions EMC de sauvegarde des données avec déduplication dans les envir...Les solutions EMC de sauvegarde des données avec déduplication dans les envir...
Les solutions EMC de sauvegarde des données avec déduplication dans les envir...
 
BLADE Cloud Ready Network Architecture
BLADE Cloud Ready Network ArchitectureBLADE Cloud Ready Network Architecture
BLADE Cloud Ready Network Architecture
 

More from EMC

INDUSTRY-LEADING TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUD
INDUSTRY-LEADING  TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUDINDUSTRY-LEADING  TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUD
INDUSTRY-LEADING TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUD
EMC
 
Cloud Foundry Summit Berlin Keynote
Cloud Foundry Summit Berlin Keynote Cloud Foundry Summit Berlin Keynote
Cloud Foundry Summit Berlin Keynote
EMC
 
EMC GLOBAL DATA PROTECTION INDEX
EMC GLOBAL DATA PROTECTION INDEX EMC GLOBAL DATA PROTECTION INDEX
EMC GLOBAL DATA PROTECTION INDEX
EMC
 
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIO
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIOTransforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIO
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIO
EMC
 
Citrix ready-webinar-xtremio
Citrix ready-webinar-xtremioCitrix ready-webinar-xtremio
Citrix ready-webinar-xtremio
EMC
 
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES
EMC
 
EMC with Mirantis Openstack
EMC with Mirantis OpenstackEMC with Mirantis Openstack
EMC with Mirantis Openstack
EMC
 
Modern infrastructure for business data lake
Modern infrastructure for business data lakeModern infrastructure for business data lake
Modern infrastructure for business data lakeEMC
 
Force Cyber Criminals to Shop Elsewhere
Force Cyber Criminals to Shop ElsewhereForce Cyber Criminals to Shop Elsewhere
Force Cyber Criminals to Shop Elsewhere
EMC
 
Pivotal : Moments in Container History
Pivotal : Moments in Container History Pivotal : Moments in Container History
Pivotal : Moments in Container History
EMC
 
Data Lake Protection - A Technical Review
Data Lake Protection - A Technical ReviewData Lake Protection - A Technical Review
Data Lake Protection - A Technical Review
EMC
 
Mobile E-commerce: Friend or Foe
Mobile E-commerce: Friend or FoeMobile E-commerce: Friend or Foe
Mobile E-commerce: Friend or Foe
EMC
 
Virtualization Myths Infographic
Virtualization Myths Infographic Virtualization Myths Infographic
Virtualization Myths Infographic EMC
 
Intelligence-Driven GRC for Security
Intelligence-Driven GRC for SecurityIntelligence-Driven GRC for Security
Intelligence-Driven GRC for Security
EMC
 
The Trust Paradox: Access Management and Trust in an Insecure Age
The Trust Paradox: Access Management and Trust in an Insecure AgeThe Trust Paradox: Access Management and Trust in an Insecure Age
The Trust Paradox: Access Management and Trust in an Insecure Age
EMC
 
EMC Technology Day - SRM University 2015
EMC Technology Day - SRM University 2015EMC Technology Day - SRM University 2015
EMC Technology Day - SRM University 2015
EMC
 
EMC Academic Summit 2015
EMC Academic Summit 2015EMC Academic Summit 2015
EMC Academic Summit 2015
EMC
 
Data Science and Big Data Analytics Book from EMC Education Services
Data Science and Big Data Analytics Book from EMC Education ServicesData Science and Big Data Analytics Book from EMC Education Services
Data Science and Big Data Analytics Book from EMC Education ServicesEMC
 
Using EMC Symmetrix Storage in VMware vSphere Environments
Using EMC Symmetrix Storage in VMware vSphere EnvironmentsUsing EMC Symmetrix Storage in VMware vSphere Environments
Using EMC Symmetrix Storage in VMware vSphere Environments
EMC
 
Using EMC VNX storage with VMware vSphereTechBook
Using EMC VNX storage with VMware vSphereTechBookUsing EMC VNX storage with VMware vSphereTechBook
Using EMC VNX storage with VMware vSphereTechBook
EMC
 

More from EMC (20)

INDUSTRY-LEADING TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUD
INDUSTRY-LEADING  TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUDINDUSTRY-LEADING  TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUD
INDUSTRY-LEADING TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUD
 
Cloud Foundry Summit Berlin Keynote
Cloud Foundry Summit Berlin Keynote Cloud Foundry Summit Berlin Keynote
Cloud Foundry Summit Berlin Keynote
 
EMC GLOBAL DATA PROTECTION INDEX
EMC GLOBAL DATA PROTECTION INDEX EMC GLOBAL DATA PROTECTION INDEX
EMC GLOBAL DATA PROTECTION INDEX
 
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIO
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIOTransforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIO
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIO
 
Citrix ready-webinar-xtremio
Citrix ready-webinar-xtremioCitrix ready-webinar-xtremio
Citrix ready-webinar-xtremio
 
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES
 
EMC with Mirantis Openstack
EMC with Mirantis OpenstackEMC with Mirantis Openstack
EMC with Mirantis Openstack
 
Modern infrastructure for business data lake
Modern infrastructure for business data lakeModern infrastructure for business data lake
Modern infrastructure for business data lake
 
Force Cyber Criminals to Shop Elsewhere
Force Cyber Criminals to Shop ElsewhereForce Cyber Criminals to Shop Elsewhere
Force Cyber Criminals to Shop Elsewhere
 
Pivotal : Moments in Container History
Pivotal : Moments in Container History Pivotal : Moments in Container History
Pivotal : Moments in Container History
 
Data Lake Protection - A Technical Review
Data Lake Protection - A Technical ReviewData Lake Protection - A Technical Review
Data Lake Protection - A Technical Review
 
Mobile E-commerce: Friend or Foe
Mobile E-commerce: Friend or FoeMobile E-commerce: Friend or Foe
Mobile E-commerce: Friend or Foe
 
Virtualization Myths Infographic
Virtualization Myths Infographic Virtualization Myths Infographic
Virtualization Myths Infographic
 
Intelligence-Driven GRC for Security
Intelligence-Driven GRC for SecurityIntelligence-Driven GRC for Security
Intelligence-Driven GRC for Security
 
The Trust Paradox: Access Management and Trust in an Insecure Age
The Trust Paradox: Access Management and Trust in an Insecure AgeThe Trust Paradox: Access Management and Trust in an Insecure Age
The Trust Paradox: Access Management and Trust in an Insecure Age
 
EMC Technology Day - SRM University 2015
EMC Technology Day - SRM University 2015EMC Technology Day - SRM University 2015
EMC Technology Day - SRM University 2015
 
EMC Academic Summit 2015
EMC Academic Summit 2015EMC Academic Summit 2015
EMC Academic Summit 2015
 
Data Science and Big Data Analytics Book from EMC Education Services
Data Science and Big Data Analytics Book from EMC Education ServicesData Science and Big Data Analytics Book from EMC Education Services
Data Science and Big Data Analytics Book from EMC Education Services
 
Using EMC Symmetrix Storage in VMware vSphere Environments
Using EMC Symmetrix Storage in VMware vSphere EnvironmentsUsing EMC Symmetrix Storage in VMware vSphere Environments
Using EMC Symmetrix Storage in VMware vSphere Environments
 
Using EMC VNX storage with VMware vSphereTechBook
Using EMC VNX storage with VMware vSphereTechBookUsing EMC VNX storage with VMware vSphereTechBook
Using EMC VNX storage with VMware vSphereTechBook
 

Recently uploaded

How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 

Recently uploaded (20)

How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 

FLASH 1st - The Storage Strategy for the Next Decade ( EMC World 2012 )

  • 1. FLASH 1st The Storage Strategy for the Next Decade Denis Vilfort Sr. Director, USD Marketing © Copyright 2012 EMC Corporation. All rights reserved. 1
  • 2. Information Tipping Point Ahead The future will be nothing like the past 140,000 120,000 Data A 10TB data center in 110X 100,000 2001growing at 60% YoY 80,000 will be a 120 Petabyte We data center by 2021, - but 60,000 MORE DATA are EACH DECADE IT budgets remain flat Automation 40,000 Here 20,000 Budget 0 2000 2003 2006 2009 2012 2015 2018 2021 © Copyright 2011 EMC Corporation. All rights reserved. 2
  • 3. Most Data Will be Stone Cold While we increasingly can’t erase data, we can store it better 4,123 110 X 37.5 TB TB 2011 2021 Hot Warm Cold Evolution of 50 TBs in 10 Years © Copyright 2011 EMC Corporation. All rights reserved. 3
  • 4. Why Disk Aggregation is Losing Steam Moore’s Law drives the escalating need for IO transactions The Number of Drives Needed per Host over Time 262,833 We are 164,682 Here ? 103,184 64,652 40,509 25,381 9,964 15,903 23 36 58 93 148 237 378 603 962 1,536 2,451 3,912 6,243 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 © Copyright 2011 EMC Corporation. All rights reserved. 4
  • 5. The CPU to HDD Performance Gap CPU improves 100 times every decade – disk speed hasn’t CPU continue to improve MOORE’S LAW: while disk drive 100X performance remains flat. As a result, applications per will suffer more and more unless we rapidly move to DECADE FLASH. 10,000 times FLASH improved 100 times improved 2000 2010 2020 © Copyright 2011 EMC Corporation. All rights reserved. 5
  • 6. Anatomy of a Enterprise FLASH Drive Designed for reliability, data integrity and performance Controller SLC NAND FLASH SAS or SATA ports DRAM End to End CRC © Copyright 2011 EMC Corporation. All rights reserved. 6
  • 7. Comparing Associated Costs Which technology is the most efficient? Capacity Acquisition Cost Capacity Power Cost $- $5 $10 $15 $20 $25 $30 0 5 10 15 20 25 30 15K HDD 15K HDD 7200 HDD Lowest Capacity Cost 7200 HDD FLASH FLASH FLASH 7200 HDD 15K HDD FLASH 7200 HDD 15K HDD $/GB $24.75 $0.46 $1.80 mWatt/GB 25 4 28 Transaction Acquisition Cost Transaction Power Cost $- $5 $10 $15 $20 0.0 50.0 100.0 150.0 15K HDD 15K HDD 7200 HDD 7200 HDD FLASH Lowest Transaction Cost FLASH FLASH 7200 HDD 15K HDD FLASH 7200 HDD 15K HDD $/IOPS $0.99 $15.28 $6.00 mWatt/IOPS 1.0 133.3 94.4 © Copyright 2011 EMC Corporation. All rights reserved. 7
  • 8. Two Major Components of Your SLA Transaction and Capacity support needed by the business? Lowest $/IO SLA Target SLA SSD Needed Transactions $ Lowest $/GB NL-HDD Needed Capacity © Copyright 2011 EMC Corporation. All rights reserved. 8
  • 9. FLASH Becomes More Affordable Projected to fall below $1/GB by 2018 40% Consumer electronics keep driving FLASH FAB capacity up. As a result, FLASH LOWER NAND prices will continue to fall EACH YEAR © Copyright 2011 EMC Corporation. All rights reserved. 9
  • 10. ROI Improvement Decade Outlook FLASH technology will improve faster than mechanical drives 1000.0 100.0 FLASH STORAGE 10.0 29X MECH. STORAGE MORE IMPROVED 1.0 0.1 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 IOPS per $ 0.1 0.3 0.7 1.6 3.7 8.6 20.2 47.1 109.8 256.3 598.0 GB per $ 0.7 1.1 1.9 3.1 5.1 8.6 14.3 23.8 39.7 66.2 110.3 © Copyright 2011 EMC Corporation. All rights reserved. 10
  • 11. The VNX5500-F High performance, high availability FLASH Array © Copyright 2011 EMC Corporation. All rights reserved. 11
  • 12. The EMC VNX 5500-F Flash Array Proven high availability and consistent high performance • 5 x 9’s availability for mission critical 10X applications – RAID data protection, proactive global sparing, replication, EMC quality Enterprise Flash TRANSACTIONS • Starter configuration at 2 or 4TB of 1/8 th Flash – 25 X 2.5” drives, with 100GB or 200GB SLC SSDs THE COST • Advanced data efficiency services – Compression, De-dupe, and Thin Provisioning doubles usable capacity • Full unified protocol support – CIFS, NFS, pNFS, iSCSI, FCP and FCoE • Expandable to Tiered Storage with FAST – From 49 TB of Flash to 675 TB of tiered storage (Flash, SAS, NL-SAS) as data ages © Copyright 2011 EMC Corporation. All rights reserved. 12
  • 13. The FLASH 1st Data Management Strategy Hot data on fast FLASH SSDs—cold data on dense disks “Hot” high activity Highly active data is As data ages, activity falls, stored on triggering automatic FLASH SSDs for movement to high fastest capacity disk drives for response time lowest cost Data Activity High FLASH Cap. SSD HDD Movement Trigger “Cold” low activity Data Age (5 years) © Copyright 2011 EMC Corporation. All rights reserved. 13
  • 14. Gaining Economic Efficiency FLASH SSDs for active transactions & 3TB HDD for overflow 1.2 • FLASH SSDs offers highest transaction efficiency 1 FLASH SSD • Large capacity HDD offers 0.8 highest capacity efficiency • High RPM HDDs are not capacity- IOPS per $ 0.6 FAST efficient nor are they 0.4 VP performance-efficient • FAST VP automatically and 0.2 15K seamlessly optimizes data 0 HDD 3TB HDD across all disk technologies 0 0.5 1 1.5 2 2.5 GB per $ © Copyright 2011 EMC Corporation. All rights reserved. 14
  • 15. Today’s Compute Hierarchy Right data. Right Place. Right Cost. Multi-Core/Socket CPUs pS − pS latency DDR4 - 4.266GHz RAM nS − 7 to 200nS latency FAST Cache 200GB FLASH SSDs uS − 20 to 320 uS latency FAST Virtual Pools 3TB HDDs mS − 7 to 34 mS latency © Copyright 2011 EMC Corporation. All rights reserved. 15
  • 16. Optimizing Your VNX Deployment Lowest $/IOPS and lowest $/GB Max System IOPS Transactions Add SSDs Add HDDs for more IOPS for more Capacity System Scale © Copyright 2011 EMC Corporation. All rights reserved. 16
  • 17. Hybrid Systems A little FLASH goes a long way 90 SSDs HDDs 85 910 70 415 50 180 45 75 30 VNX5100 VNX5300 VNX5500 VNX5700 VNX7500 © Copyright 2011 EMC Corporation. All rights reserved. 17
  • 18. The FAST Suite Dynamically optimizes IO for FLASH 1st at a 64K page size • FAST Cache FAST Cache - FAST VP Relationship – Caches data from the HDD or NL-HDD tiers in Controller the pool – Operates at a page granularity of 64K • FAST VP FAST Cache – Dynamically moves data between tiers in the 64K 64K storage pool – Operates at a slice granularity of 1GB 64K 1G SSD HDD NL-HDD • Deploying both together FAST Virtual Pool ensures maximum IO granularity © Copyright 2011 EMC Corporation. All rights reserved. 18
  • 19. IO Skew Random slice activity 1000 1000 900 900 800 800 700 700 600 600 500 500 All 400 400 80% 300 300 200 200 100 100 0 0 1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96 101 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 • Slice activity 100% randomized • Slice activity stack ranked according to access frequency of a given slice • 51 slices of 101 has 80% of IO © Copyright 2011 EMC Corporation. All rights reserved. 19
  • 20. IO Skew Random slice activity weighted by 3% cooling rate 1000 900 800 700 600 • Stack ranked slice map 500 All weighted by a 3% cooling rate 400 "80%" 300 • Now only 31 slices of 101 total 200 has 80% of IO 100 0 1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96 101 © Copyright 2011 EMC Corporation. All rights reserved. 20
  • 21. Examples of IO Skew Driven by Data Growth and Business Models Very Growth: 60% Std. Growth: 50% High Days Hot: 10 Days Hot: 60 Skew 1% of data = 80% of IO Skew 5.5% of data = 80% of IO High Growth: 100% Days Hot: 30 Low Growth: 50% Days Hot: 90 Skew 4.2% of data = 80% of IO Skew 8.2% of data = 80% of IO © Copyright 2011 EMC Corporation. All rights reserved. 21
  • 22. How Much FLASH? Used dynamically with FAST Size of FLASH FIFO • Data follows a predictable decay in activity Amount of Data being created daily • Older data is constantly being replaced by new highly active data • The amount of FLASH FLASH Capacity required is determined by: – The amount of data created each day, and Number of Days of – The period of time it takes High Data Activity to cool © Copyright 2011 EMC Corporation. All rights reserved. 22
  • 23. Modeling “Data Decay” A simple GB-Day state model describes typical data behavior P = (1-C) A, and Probability of data access A = LOG1-C (P) Where: P is Probability of data access C is daily Cooling rate A is data Age in days Hot 1GB data age in days © Copyright 2011 EMC Corporation. All rights reserved. 23
  • 24. Modeling “Data Decay” A simple GB-Day state model describes typical data behavior P = (1-C) A, and A = LOG1-C (P) Hot Where: P is Probability of data access State C is daily Cooling rate Change A is data Age in days Cold Hot Cold 1GB data age in days © Copyright 2011 EMC Corporation. All rights reserved. 24
  • 25. Basic Data Decay Model Cache FAST • The basic storage pool distribution model assumes FLASH as the first line of defense 20% for 80% of all IOs • As an additional performance buffer, 15K FLASH Tier drives are used for overflow for 19% of all IOs • Only a 1% chance remains that any IOs will be serviced from slow 2TB drives 60% 15K 1% 7 days 52days 250 days © Copyright 2011 EMC Corporation. All rights reserved. 25
  • 26. How Long Does Data Stay Hot? Depends on business model, applications and workload Daily Hot Days cooling rate @ 80% 30 5.2% 60 2.7% Hot 90 1.8% 120 1.4% Cold 30 days 60 days 90 days 120 days Days of high data activity © Copyright 2011 EMC Corporation. All rights reserved. 26
  • 27. FLASH Percentage A function of data growth and service level • Relative more FLASH is needed when: – Service level (FLASH hit rate) is elected high, and FLASH portion – Data growth is high • More than 25% FLASH is highly unlikely! Data Growth Rate © Copyright 2011 EMC Corporation. All rights reserved. 27
  • 28. Getting the Right Blend of Flash 3 fundamental business questions • How much data is under management today?  30 TBs • How much is your data growing each year?  50% YoY • How long does your data stay hot?  60 days © Copyright 2011 EMC Corporation. All rights reserved. 28
  • 29. Calculating Net New Data Net new is a function of amount of starting data and growth 50% Growth Rate • 50% of 30TB is 15TB 15 • The average amount of data generated each day: – 15 X 1024 GB / 365 = 42 GB per day 30 30 Start Year 1 © Copyright 2011 EMC Corporation. All rights reserved. 29
  • 30. Calculating Needed FLASH FLASH only needs to be large enough to hold hot data FLASH portion • FLASH capacity: 2.5 – 60 days X 42 GB = Needed FLASH 2,520 GB 12.5 • FLASH Percentage: – FLASH Capacity/Total Capacity 30 30 – 2,520 GB/(45 X 1024) GB X 100 = 5.4% Start Year 1 © Copyright 2011 EMC Corporation. All rights reserved. 30
  • 31. Calculating How Much FLASH FLASH Yearly Growth Rate% X Number of Hot Days X 100 FLASH % = Portion 365 X (Yearly Growth Rate% + 100%) FLASH portion as a function of Yearly Data Growth 18% 16% of storage pool FLASH portion 14% 12% 10% 8% 6% 4% 2% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 30 days Hot 1% 1% 2% 2% 3% 3% 3% 4% 4% 4% 60 days Hot 1% 3% 4% 5% 5% 6% 7% 7% 8% 8% 90 days Hot 2% 4% 6% 7% 8% 9% 10% 11% 12% 12% 120 days Hot 3% 5% 8% 9% 11% 12% 14% 15% 16% 16% © Copyright 2011 EMC Corporation. All rights reserved. 31
  • 32. Using the Business Data to Configure With no trace data, the model is used • The SSD tier retains a 80% probability of SSD data re-use • An 15K HDD tier is 3-Tier used as overflow with a 19% chance 60 178 FLASH 1st of data re-use Hot • Finally, the NL-HDD days days Strategy tier is used for long term online storage with a 1% chance and lower of data re- use 15K-HDD Cold NL-HDD © Copyright 2011 EMC Corporation. All rights reserved. 32
  • 33. Configuration Example 30TB usable , 50% growth, 60 days hot @ 80% FLASH service VNX5500 VNX5300 Large Foot Print Smaller Foot Print 200 SAS 15K HDDs SSDs for FAST Cache 4 SSDs for FAST VP 20 15K SAS HDDs for FAST VP 15 NL-SAS HDDs for FAST VP 24 TOTAL 63 $380,573 $182,882 Monolithic © Copyright 2011 EMC Corporation. All rights reserved. 33
  • 34. Tangible Business Benefits Dramatically lower cost and higher transaction support $ per Usable GB Yearly Power Consumption With FAST $3.97 With FAST 7,030 Without FAST $8.26 Without FAST 30,660 Disk Slots Needed Transactions Supported With FAST 63 With FAST 36,686 Without FAST 200 Without FAST 15,050 © Copyright 2011 EMC Corporation. All rights reserved. 34
  • 35. 12.5X Compounded Improvement in ROI $/GB and $/IO is improves simultaneously ROI Improvement from FLASH 1st 0.25 0.25 GB/$ 0.20 0.20 IO/$ IOPS per Budget $ 0.15 5X 0.10 0.05 0.1 GB/$ 0.04 IO/$ 0.00 0.00 0.05 0.10 0.15 2.5X 0.20 0.25 0.30 GB per Budget $ © Copyright 2011 EMC Corporation. All rights reserved. 35
  • 36. Data Strategy Matrix Technology differentiated data placement strategy Shared NL HDD Dedicated PCIe FLASH Read Automation Write Shared 15K HDD Shared FLASH SSD Low Activity High Activity © Copyright 2011 EMC Corporation. All rights reserved. 36
  • 37. Virtualization Further Pressures Storage Moore’s law and better CPU utilization drives IOPS need 32 cores 32 cores 32 cores 32 cores 1M IOPS 1M IOPS 1M IOPS 1M IOPS 2M IOPS • Application management - like vMotion – requires shared storage NEED for 200K • A performance budget of 1M IOPS per host is now a reality IOPS • Shared storage risks becoming SPEED bottleneck in high performance virtualization deployments Note: 2M host pressure IOPS is based on 50% storage side IOPS per host © Copyright 2011 EMC Corporation. All rights reserved. 37
  • 38. VNX Virtualized Cloud Architecture Host-side read caching multiplies performance Performance Scale 2M IOPS 10X • Scale out for “hot data” and read performance with FLASH based host- Capacity Scale side caching • Scale up for deep archive of “cold data” • All writes are protected by BETTER synchronous cache mirroring to DRAM & FLASH in central array PERFORMANCE Note: 2M storage IOPS is based on 90%/10% read/write mix © Copyright 2011 EMC Corporation. All rights reserved. 38
  • 39. High Performance Storage Hierarchy The data continuum is FLASH centric and extends to the host • Host-side read FLASH caching shields data from Working Set 50uS SAN and array latency PCIe FLASH • Array-side FLASH protects data against host failure SSD 200uS • Array-side HDDs FLASH accumulates inactive data at lowest cost Inactive Data 1,500uS HDD © Copyright 2011 EMC Corporation. All rights reserved. 39
  • 40. The IO Spread: Access Density PCIe FLASH offers 8,333X better data access than 15K HDD 10000 1000 100 10 2,500 1 25 0.1 0.3 0.01 0.03 NL-HDD HDD SSD PCIe FLASH Access Density: IOPS/GB © Copyright 2011 EMC Corporation. All rights reserved. 40
  • 41. Data Continuum As data activity falls, different technologies apply “Hot” high activity VFCache Data Activity SSD Dynamic Storage FAST Cache COST Hierarchy differentiated OPTIMIZED SSD on Access Density Cost FAST VP 15K HDD “Cold” NL-HDD low activity Data Age © Copyright 2011 EMC Corporation. All rights reserved. 41
  • 42. Storage Efficiencies/Flash Sessions USD Lectures- Session Name Day & Time Monday 10:00am - 11:00am #7 VNX Storage Efficiencies – What, Why, and When Tuesday 11:30am - 12:30pm VNX Virtual Provisioning - Leveraging the Best in Efficiency and Simplicity with Virtual Pool Tuesday 10:00am - 11:00am #8 Provisioning Wednesday 11:30am - 12:30pm Tuesday 4:15pm - 5:15pm #9 VNX Compression and Deduplication - Optimizing Capacity for Your File and Block Infrastructure Thursday 10:00am - 11:00am Tuesday 11:30am - 12:30pm #10 VNX FAST VP - Optimizing Performance and Utilization of Virtual Pools Thursday 8:30am - 9:30am Monday 4:00pm - 5:00pm #11 VNX FAST Cache – Super Charge your Storage with Extended Cache Wednesday 10:00am - 11:00am Tuesday 2:45pm - 3:45pm #12 FAST Storage Design Basics for EMC VNX Wednesday 4:15 - 5:15pm Wednesday 11:30am - 12:30pm #13 Leveraging SSD: Designing for FAST Cache and FAST VP on Unified Block Storage Thursday 11;30am - 12:30pm Monday 8:30am - 9:30am #25 FLASH 1st - The Storage Strategy for the Next Decade Monday 2:30pm - 3:30pm Monday 8:30am - 9:30am FBU#1 Introduction To EMC VFCache Wednesday 4:15pm - 5:15pm Monday 4:00pm – 5:00pm FBU#2 Leveraging EMC VFCache with Enterprise Applications Thursday 10:00am - 11:00am BOF Dive into EMC VNX & FAST Suite Storage Efficiencies Tuesday 1:30pm - 2:30pm BOF Flash Technology in the Storage Environment Wednesday 1:30pm - 2:30pm © Copyright 2011 EMC Corporation. All rights reserved. 42
  • 43. Provide Feedback & Win! • 125 attendees will receive $100 iTunes gift cards. To enter the raffle, simply complete: – 5 sessions surveys – The conference survey • Download the EMC World Conference App to learn more: emcworld.com/app © Copyright 2011 EMC Corporation. All rights reserved. 43
  • 44. © Copyright 2011 EMC Corporation. All rights reserved. 44
  • 45. FLASH 1st THANK YOU Denis Vilfort Sr. Director, USD Marketing © Copyright 2011 EMC Corporation. All rights reserved. 45