101 cd 1600-1630


FLASH 1st - 未來十年 IT 儲存策略 FLASH 1st - THE STORAGE STRATEGY FOR THE NEXT DECADE

簡俊彥資深技術顧問/EMC Taiwan


2000 2003 2006 2009 2012 2015 2018 2021

140,000

60,000

100,000

40,000

120,000

80,000

20,000

0

未來資訊量之劇烈變化未來與過去會截然不同

Data

Budget

Automation Architecture

We are

Here

110X MORE DATA

EACH DECADE

A 10TB Data Center In 2001 Growing At 60% Y/Y Will Be A 120 Petabyte Data Center By 2021, - But IT Budgets Remain Flat


4,123

TB

大部份資料是靜態資料資料須存得更久且更有效率

2011

2021

37.5

TB

Hot Warm Cold

Evolution Of 50 TBs In 10 Years

110 X


傳統磁碟機將不足以滿足IO需求 Moore 定律驅動著CPU的快速進步，也鞭策著存儲IO須同步增長

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

40,509

64,652

103,184

164,682

262,833

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

The Number Of Drives Needed

Per Host Over Time

?

We

are

Here


CPU與HDD速度差距越來越大 CPU增進神速，每十年加快100倍 – 磁碟機無法相比

100 times improved

10,000 times improved FLASH

2000 2010 2020

MOORE’S LAW:

100X per

DECADE

CPU Continue To Improve While Disk Drive Performance Remains Flat. As A Result, Applications Will Suffer More And More Unless

We Rapidly Move To FLASH.


投資報酬率之十年展望 FLASH技術之演進速度比傳統磁碟機快

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

0.1

1.0

10.0

100.0

1000.0

FLASH STORAGE

MECH. STORAGE

29X MORE

IMPROVED


活潑資料(須快速存取)擺在FLASH—靜態資料擺在高容量磁碟

FLASH 1st 的資料管理策略能獲取最佳經濟效益

―Hot‖ High Activity As Data Ages, Activity Falls,

Triggering Automatic

Movement To High Capacity

Disk Drives For Lowest Cost

Highly Active Data Is

Stored On

FLASH SSDs For

Fastest

Response Time

Movement Trigger

FLASH SSD

―Cold‖ Low Activity

Data

Activity

High Cap. HDD

Data Age (5 years)


Server

Network

Storage

Network

ALL FLASH ARRAY

HYBRID ARRAY

EMC FLASH 1st 改變未來十年的儲存策略

Transaction Performance

Capacity C

ost

FLASH CARD

VNX Isilon VMAX

Project X

FLASH APPLIANCE

VFCache ―Thunder‖

FAST Fully Automated Storage Tiering


EMC FAST 軟體組合包以64KB 與1GB 為單位優化IO

• FAST Cache

– Caches Data From The HDD Or NL-HDD Tiers

– Operates At A Page Granularity Of 64K

• FAST VP

– Dynamically Moves Data Between Tiers In The Storage Pool

– Operates At A Slice Granularity Of 1GB

• Deploying Both Together Ensures Maximum IO Granularity

64K 64K

64K

Controller

FAST Virtual Pool

FAST Cache

NL-HDD HDD SSD 1G

FAST Cache - FAST VP Relationship


IO曲線例子與資料成長趨勢, 與AP模式相關

Very High

Skew

Growth: 60% Days Hot: 10 1% Of Data = 80% Of IO

High Skew

Growth: 100% Days Hot: 30 4.2% Of Data = 80% Of IO

Low Skew


Std. Skew



需要多大FLASH空間? FAST 軟體機動地使用FLASH空間

• Data Follows A Predictable Decay In Activity

• Older Data Is Constantly Being Replaced By New Highly Active Data

• The Amount Of FLASH Required Is Determined By: – The Amount Of Data

Created Each Day, And – The Period Of Time It Takes

To Cool

Amount Of Data Being Created Daily

Number Of Days Of High Data Activity

FLASH Capacity

Size of FLASH FIFO


計算需要多少FLASH空間

FLASH

Portion FLASH % =

Yearly Growth Rate% X Number of Hot Days X 100

365 X (Yearly Growth Rate% + 100%)

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%

0%

5%

10%

15%

20%

FLA

SH

po

rti

on

of

sto

rag

e p

oo

l FLASH Portion As A Function Of Yearly Data Growth

Yearly Growth %


Smaller Foot Print 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

$

VNX5300

配置實例 30TB 可用, 50% 年成長率, 60天資料熱點期, 80%IO使用FLASH

Monolithic

Large Foot Print 200 SAS 15K HDDs

VNX5500

$$


可具體呈現的企業效益大幅降低費用提高交易量

$8.26

$3.97

Without FAST

With FAST

$ Per Usable GB

200

63

Without FAST

With FAST

Disk Slots Needed

30,660

7,030

Without FAST

With FAST

Yearly Power Consumption

15,050

36,686

Without FAST

With FAST

Transactions Supported


FLASH 1st 創造 12.5 倍的投資報酬率 IO單位成本 ($/IOPS) 空間單位成本 ($/GB) 同時增長

0.1 GB/$ 0.04 IO/$

0.25 GB/$ 0.20 IO/$

0.00

0.05

0.10

0.15

0.20

0.25

0.00 0.05 0.10 0.15 0.20 0.25 0.30

IO

PS

per B

ud

get

$

GB per Budget $

ROI Improvement From FLASH 1st

5X

2.5X


IO的存取密度 (IO Access Density) IOPS/GB: PCIe FLASH 是 15K HDD 的 8,333倍

0.03 0.3

25

2,500

0.01

0.1

1

10

100

1000

10000

NL-HDD HDD SSD PCIe FLASH

Access Density: IOPS/GB


資料的生命週期不同時期,不同熱度,適用不同技術

―Hot‖ High Activity

―Cold‖ Low Activity

Data

Activity

Data Age

VFCache

SSD FAST Cache

SSD FAST VP

15K HDD

NL-HDD

OPTIMIZED

COST Dynamic Storage Hierarchy Differentiated On Access Density Cost


Server

Network

Storage

Network

ALL FLASH ARRAY

HYBRID ARRAY

EMC FLASH 1st 改變未來十年的儲存策略

Transaction Performance

Capacity C

ost

FLASH CARD

VNX Isilon VMAX

Project X

FLASH APPLIANCE

VFCache ―Thunder‖

FAST Fully Automated Storage Tiering


FLASH 1st

THANK YOU

101 cd 1600-1630

Technology