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1 © Copyright 2012 EMC Corporation. All rights reserved.
2 © Copyright 2012 EMC Corporation. All rights reserved.
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
3 © Copyright 2012 EMC Corporation. All rights reserved.
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 © Copyright 2012 EMC Corporation. All rights reserved.
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
5 © Copyright 2012 EMC Corporation. All rights reserved.
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
6 © Copyright 2012 EMC Corporation. All rights reserved.
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.
7 © Copyright 2012 EMC Corporation. All rights reserved.
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
8 © Copyright 2012 EMC Corporation. All rights reserved.
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)
9 © Copyright 2012 EMC Corporation. All rights reserved.
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
10 © Copyright 2012 EMC Corporation. All rights reserved.
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
11 © Copyright 2012 EMC Corporation. All rights reserved.
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
Growth: 50% Days Hot: 90 8.2% Of Data = 80% Of IO
Std. Skew
Growth: 50% Days Hot: 60 5.5% Of Data = 80% Of IO
12 © Copyright 2012 EMC Corporation. All rights reserved.
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
13 © Copyright 2012 EMC Corporation. All rights reserved.
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 %
14 © Copyright 2012 EMC Corporation. All rights reserved.
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
$$
15 © Copyright 2012 EMC Corporation. All rights reserved.
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
16 © Copyright 2012 EMC Corporation. All rights reserved.
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
17 © Copyright 2012 EMC Corporation. All rights reserved.
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
18 © Copyright 2012 EMC Corporation. All rights reserved.
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
19 © Copyright 2012 EMC Corporation. All rights reserved.
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
20 © Copyright 2012 EMC Corporation. All rights reserved.
FLASH 1st
THANK YOU
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