Track 1, Session 2, Flash by Amit Sharma

Flash 1st – A powerful data centre
optimization and consolidation
approach
1 Cloud Meets Big Data
© Copyright 2011 EMC Corporation. All rights reserved. 17-18 November 2011. Grand Hyatt - Mumbai

2009: More Apps On Virtual Infrastructure
17,500,000

15,000,000
The Tipping Point Virtual Machines
12,500,000
Physical Hosts

10,000,000

7,500,000

5,000,000

2,500,000

2005 2006 2007 2008 2009 2010 2011 2012 2013
Source: IDC


Virtualization Changes Everything…
SLA optimization has shifted from Point-in-Time to Real-Time

MANUAL PROCESS 100% AUTOMATED

Oracle Exchange SQL
server server server
Oracle Exchange SQL OracleI ExchangeI SQLI

Automated Tiering

SSD SAS NL-SAS

Static Association of Dynamic, Self-optimizing
Disk Groups to Applications Storage Pools
based on best guess based on actual data activity


Information Tipping Point Ahead
This decade will be nothing like the last

140,000

120,000
Data

100X
100,000
A 10TB data center in 2001
80,000 growing at 60% YoY will be a
120 Petabyte data center by
60,000 MORE DATA 2021, but IT budgets remain flat
EACH DECADE Automation
40,000

20,000
Budget
0
2000 2003 2006 2009 2012 2015 2018 2021


Most Data Will be Stone Cold
While we increasingly can’t erase data, we can store it better

4,123
100 X
37.5
TB
TB

2011

2021

Hot Warm Cold

Evolution of 50 TBs in 10 Years


The CPU to HDD Performance Gap
CPU improves 100 times every decade – disk speed hasn’t

Moore’s Law will continue to improve
CPU performance while disk drive
performance will remain flat.
As a result, applications will suffer more
and more unless we rapidly move to
FLASH

10,000 times
FLASH improved

100 times
improved

2000 2010 2020


Clicker Question
Have you faced the following challenges.

A. Due to performance requirements your storage solution
was built of a huge number of spinning drives whereas
your capacity requirement was much lower?
B. You still prefer 15K spindles and have your arrays totally
filled up?
C. You were forced to do incremental purchases over the life
span of your infrastructure to meet performance SLA’s.?


Anatomy of an Enterprise FLASH Drive
Designed for reliability, data integrity and performance
Controller

SLC NAND
FLASH

SAS or SATA
ports

DRAM

End to End CRC


Comparing Associated Costs
Which technology is the most efficient?
Capacity Acquisition Cost Capacity Power Cost
$- $10 $20 $30 $40 0 5 10 15 20 25 30

15K HDD 15K HDD

7200 HDD 7200 HDD

FLASH FLASH

FLASH 7200 HDD 15K HDD FLASH 7200 HDD 15K HDD
$/GB $34.80 $0.43 $1.63 mWatt/GB 25 6 28

Transaction Acquisition Cost Transaction Power Cost
$- $2 $4 $6 $8 $10 $12 0.0 50.0 100.0 150.0

15K HDD 15K HDD
7200 HDD 7200 HDD
FLASH FLASH

FLASH 7200 HDD 15K HDD FLASH 7200 HDD 15K HDD
$/IOPS $1.99 $9.56 $5.44 mWatt/IOPS 1.4 133.3 94.4


How?


The FLASH 1st Data Strategy
Hot data on fast FLASH SSDs—cold data on dense disks

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

FLASH High Cap.
SSD HDD

Movement
Trigger “Cold”
low activity

Data Age (5 years)


Clicker Question
Have you had discussion with your solution suppliers around
the mix of flash and spinning drives
• Yes – we had detailed discussions and some sizing methods
were implemented
• No – we had no discussions


How Much FLASH?
Used dynamically with Automated tiering

Size of FLASH FIFO • Older data is constantly
being replaced by new
Amount of Data being highly active data
created daily

• The amount of FLASH
required is determined by:
– The amount of data created
FLASH Capacity
each day, and
– The period of time it takes to
cool
Number of Days of High
Data Activity


How Much FLASH?
3 fundamental business questions

• How much data are you storing
today?
50 TBs
• How much is your data growing
each year?
50% YoY
• How long does your data stay hot?
60 days


Calculating Needed Flash
Net new is a function of amount of “starting data” and “growth”
• 50% of 50TB is 25TB
• The average amount of data
50% growth rate generated each day:
80 – 25 X 1024 GB / 365 =
70 GB per day
60 25
• FLASH Capacity:
40 – 60 days X 70 GB =
50 50 4,200 GB
20

0 • FLASH Percentage:
Start Year 1 – FLASH Capacity/Total Capacity
– 4,200 GB/(75 X 1024) GB X 100:
6%


Clicker Question
What has been your biggest hindrance to flash 1 st strategy.

A. We feel flash is too expensive
B. We preferred continuing with spinning spindles as it was
tried and tested
C. We need help to ascertain our workloads
D. We feel with flash and advanced tiering there is
complexity.


Workload Skew Defines Configuration and benefits
Take Advantage of Workload Skew
Heavy Skew Moderate Skew Low Skew Zero Skew

95% of I/O on 90% of I/O on 80% of I/O on 50% of I/O on
5% of data 10% of data 20% of data 50% of data

Configuration A Configuration B Configuration C Configuration D
3% EFD 3% EFD 3% EFD
25% FC 15 K
43% FC 15 K 80% FC 15 K
97% SATA 72% SATA
54% SATA 20% SATA

30% More 40% More 20% More Same
Performance Performance Performance Performance
80% Fewer Disks 60% Fewer Disks 50% Fewer Disks 17% Fewer Disks
20% Lower Costs 15% Lower Costs Same Cost 13% Lower Costs


Automatic Data Optimization – FAST VP
The benefit of FLASH without the cost
• Easy and Effective Implementations
– Per-application Policies, modeled by
professional tools
– Works with everything, validated against
real workloads
Active Inactive
5% 95%
Data FLASH Disk Data • Exclusion policies
• SLA based Tiering – Promote/Demote policies
SSD HDD
• Granular Data Management
– Minimum chunk of movement
– Batch vs realtime , frequency of analysis
• Advanced Controls
– Time controls for performance and
movement
– 3 Tiers, dynamic, online

90% utilization

FAST Cache
• Fully automatic application accelerator
– System-wide resource, immediate impact
– No extensive pre-planning needed
FAST Cache – Helps both Read and Write operations
– Quick adjustment to changing usage patterns
– Up to 2TB
Flash

Fibre
• Turbo-charge performance improvement in
Channel Oracle, Microsoft SQL Server, and VMware View
environments
Turbo-charge performance
SATA
Benefits Easy to manage and monitor


Disk Utilization
Application was experiencing higher response time-Disk Utilization touching 80%

Before FAST Cache

After FAST Cache

• Application response time
improved
• Drive utilization reduced.
• Response time increased
• Additional Headroom


Lets change the way we procure IT

Faster Response Times

Smaller Footprint

Less Power

Lower Cost


THANK YOU

Thank You


Track 1, Session 2, Flash by Amit Sharma

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