FLASH Implications in Enterprise Storage Designs

Transcription

1 1 FLASH Implications in Enterprise Storage Designs Denis Vilfort Sr. Dir., Unified Storage Division

2 2 New Storage Reality 3000X Better Performance PCIe FLASH Capacity Cost 300X Better Performance FLASH SSD 100X Higher Cost 150X Higher Cost HIGH CAPACITY HDD 15K RPM HDD Transaction Performance

3 3 New Deployment Models ALL FLASH ARRAY PCIe FLASH Capacity Cost HYBRID ARRAY FLASH SSD Storage Network FLASH CARD FLASH APPLIANCE Server Network HIGH CAPACITY HDD 15K RPM HDD Transaction Performance

4 New Product Taxonomy ALL FLASH ARRAY Thunder VFCache Capacity Cost HYBRID ARRAY FAST Fully Automated Storage Tiering Project X Storage Network FLASH APPLIANCE Server Network FLASH CARD VNX Isilon VMAX Transaction Performance Copyright 2012 EMC Corporation. All rights reserved. 4

5 5 Customer's Need for Speed Server Virtualization Puts New Pressures on Shared Storage 32 cores 1M IOPS 32 cores 1M IOPS 2M IOPS 32 cores 1M IOPS 32 cores 1M IOPS 200K IOPS Note: 2M host pressure IOPS is based on 50% storage side IOPS per host

6 6 Customer's Need for Speed READ/WRITE Differentiation is Ideal for Server-Side Caching Transaction Scale 2M IOPS Capacity Scale

7 7 Customer's Need for Speed Server-side Caching is a Force Multiplier 4X LARGER CACHE 10X HIGHER PERFORMANCE

8 8 Two Key Components of Customer's SLA Transaction and Capacity Support Needed by The Business? SLA Target Lowest $/IO Needed Transactions $ Needed Capacity SLA SSD Lowest $/GB NL-HDD

9 9 Optimizing ROI with Hybrid Arrays Delivering Lowest $/IOPS and Lowest $/GB simultaneously! Transactions Max System IOPS FAST Add SSDs for more IOPS Add HDDs for more Capacity System Scale

10 10 Modeling Data Decay A simple GB-Day state model describes typical data behavior Hot State Change Where: P = (1-C) A, and A = LOG 1-C (P) P is Probability of data access C is daily Cooling rate A is data Age in days Cold Hot Cold 1GB data age in days

11 11 Data Decay Model FAST Cache 20% The basic storage pool distribution model assumes FLASH as the first line of defense for 80% of all IOs FLASH Tier As an additional performance buffer, 15K drives are used for overflow for 19% of all IOs Only a 1% chance remains that IOs will be serviced from slow 3TB drives 60% 15K 1% 7 days 52days 250 days

12 12 Calculating How Much FLASH FLASH PORTION FLASH % = Yearly Growth Rate% X Number of Hot Days X X (Yearly Growth Rate% + 100%) FLASH portion of storage pool 18% 16% 14% 12% 10% 8% 6% 4% 2% 0% FLASH Portion As a Function of Yearly Data Growth 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%

13 13 The FLASH 1 st Storage Media Dollar While a little FLASH Goes a Long Way, Media Cost is Mostly FLASH Storage Media Spend FLASH 15K HDD 7200 HDD 68% 10% 22% Typical FLASH 1 st Capacity Distribution: 5% FLASH 10% 15K HDD, and 85% NL-HDD Typical FLASH 1 st Media Cost Distribution: 68% FLASH 10% 15K HDD, and 22% NL-HDD

14 14 The Cost Effectiveness of FLASH 1 st 1GB growing at 50% YoY with 5% FLASH, 10% 15K and 85% NL 50% YoY Capacity Accumulation with Yearly Net New Purchase Carried over from previous year Mono to FLASH 1 st Comparison (adjusted for declining GB/$ cost) FLASH 1st (5/10/85) 15K Monolithic New purchase for the year $ $ $ $ $ $ Year 1 Year 2 Year 3 Year 4 Year 5 $- Year1 Year 2 Year 2 Year 4 Year 5

15 15 Inflection Point: ROI Transformation 5X More Transactions. 2X More Capacity. Same Budget. IOPS per $ ROI 10X IMPROVEMENT 0.23 GB/$ 0.21 IOPS/$ 0.12 GB/$ 0.04 IOPS/$ GB per $

16 16 ROI Insights for Storage Design $/GB 5% FLASH 10% 15K 85% NL-SAS Scale-up architectures offer lower $/GB as increased diskslot population amortizes larger capacities across a fixed set of controllers As systems scale, capacity cost asymptotically approximates blended pool cost

17 17 ROI Insights for Storage Design Sharp shift in $/IOPS due to controller maxing out TRADITIONAL STORAGE DEFICIENCY Hybrid FLASH-driven storage pools exerts increased pressure on the dual-controller scale-up architecture: Blended pools at scale constitute more IOPS than older controller implementations can consume Dramatic increase in controller IOPS are therefore needed for scale-up architectures to remain cost effective

18 18 FLASH Implications on System Design FLASH 1 st is the Only Option PAST NOW FUTURE NETWORK NETWORK NETWORK 200K IOPS CONTROLLER 180K IOPS HDD POOL 200K IOPS CONTROLLER 5M IOPS FLASH POOL 5M IOPS CONTROLLER 5M IOPS FLASH POOL

19 19 Moore s Law Transforms Storage Feeding a Modern Storage System Requires FLASH 1 st Design Storage Processor A Storage Processor B SANDY BRIDGE QPI SANDY BRIDGE SANDY BRIDGE QPI SANDY BRIDGE QPI QPI Cores Cores Cores Cores IO complex IO complex

20 20 Moore s Law Transforms Storage Feeding a Modern Storage System Requires FLASH 1 st Design 122,168? 47,722 76,355 29,826 18,641 11,651 1,111 1,778 2,844 4,551 7, ,074 1,718 2,749 4,

21 21 POWER! Power Consumption in kwh FLASH 15K HDD $4.4M per YEAR , $4K per YEAR

22 22 Transforming Experiences Richer Content and Deeper Analytics Drives Need for Speed 100,000 Midrange Storage Platforms Transactions in K IOPS 10,000 1,000 Next Gen Next Gen ,000 10, ,000 Capacity in TBs

23 23 Transforming the Future Exponentially Growing Design Centers for Midrange Storage IOPS 125X FASTER EACH DECADE 5M GB/sec Bandwidth 64X MORE EACH DECADE 112 PBs Capacity 64X LARGER EACH DECADE 64 40K 200K 1M CLARiiON VNX VNX2 VNX NOW FUTURE CLARiiON VNX VNX2 VNX NOW FUTURE CLARiiON VNX VNX2 VNX NOW FUTURE

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