© 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist...

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© 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems

Transcript of © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist...

Page 1: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

© 2006 Hitachi Data Systems

So Where Were You When Storage Grew Up?

Claus Mikkelsen

Chief Scientist

Hitachi Data Systems

Page 2: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

2© 2006 Hitachi Data Systems

Opportunities

Exposures

The Business Environment

• Mergers, acquisitions, consolidation • Global expansion of markets • New services and technology enablers• Cross selling and up selling

• Operational risk– Fraud, Terrorism, over runs, disaster

• Regulations and Corporate Governance– Tighter controls, audits, transparency

• Economic uncertainty– Rising interest rates– Rising Energy Costs - $80/BBL Oil– Wide scale disasters, Global Warming

Budgets are always under close scrutiny

Page 3: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

3© 2006 Hitachi Data Systems

Applications Are the Link

Applications are the critical driver of business process and decision making, impacting organizational growth, risk, and profitability

Applications have unique performance, access, protection, and retention requirements

Performanc

Databases

Imaging Content Management

ERP

ArchivingBackup /

DR

Therefore, it’s imperative that businesses optimize their storage infrastructure and management to address application requirements

Messaging

Page 4: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

4© 2006 Hitachi Data Systems

The Dynamics of Storage Growth

• Storage growth rate is compounding

• Regulations and disaster recovery drive longer retention, with redundant copies

• Transaction access rates growing faster than capacity for operational data

• Technology changes faster than capitalization rate

• Utilization of storage is still fairly low

• Many companies are approaching the knee of the growth curve

• Are we approaching an era where capacity is free and we keep everything forever?

Capacity Growth Rate

Page 5: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

5© 2006 Hitachi Data Systems

Storage Capacity Will Continue to Increase

What if the Price Erosion of 30% to 35% per year

Starts to level off?

Page 6: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

6© 2006 Hitachi Data Systems

Recording Technology Roadmap

Time

Are

al

Den

sity

Longitudinal Recording

100-130

500-800

1,000-3,000

2,000-15,000

Perpendicular Recording

Patterned Media (PM)

Thermally Assisted Recording (TAR)

2006 2010 2014

• 50 Years• >50 Million increase in areal density

10,000 Gb/in2 = 10 Tb/in2

50 TB 3.5-inch drive12 TB 2.5-inch drive

1 TB 1-inch drive

New Technologies will increase DensitiesWill Prices decline at the same rate?

Page 7: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

7© 2006 Hitachi Data Systems

A CIO’s Problem Statement

• Storage Growth has become Irrational – it does not track Business Performance

– Grew 113% in 2004 – will grow 150% in 2005

– 78% is Mirrored, Tier 1 storage which is twice as costly as Tier 2

– Running out of Data Center floor space, power, cooling

– Has Peta bytes at 20% utilization

• The problem– Buying too much storage

– Paying too much (Tier 1, mirrored)

– Low utilization

– Out running the Data Centers

Page 8: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

8© 2006 Hitachi Data Systems

Throwing More Storage at the Problem is Leading to Costly Consequences

• Storage is oversubscribed and underutilized

• Cheaper to buy storage than hire people to manage storage

• Vendors add to the problem by building higher capacity storage arrays or multiple niche products

• Business units drive piece meal acquisition of storage – no body wants to share

• Multi vendor storage keeps price competitive but adds to management costs

Page 9: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

9© 2006 Hitachi Data Systems

EMEA data centre market to grow by 30m sq ft by 2010, with storage shipments to quadruple

Source: IDC Server Installed Base Tracker and HDS metricsAssumptions: IDC estimate that there will be 35million servers worldwide by 2009

EMEA Data Centre Growth Vs Green Storage Systems

0

10,000,000

20,000,000

30,000,000

40,000,000

50,000,000

60,000,000

70,000,000

80,000,000

2006 2007 2008 2009 2010

Time

Dat

a C

entr

e F

loo

r S

pac

e (S

q F

t)

0

500,000

1,000,000

1,500,000

2,000,000

2,500,000

3,000,000

3,500,000

4,000,000

4,500,000

Sto

rag

e S

yste

ms

Sh

ipm

ents

(T

Bs)

Small Medium Large V Large Disk Storage Systems Shipments (TB) HDS Shipments (TB) Green Storage Prediction

US Senate Commenced Study

of Data Centre Efficiency

Green Grid Formed

UK Data Centres Reach Operational

Criticality

Climate Savers Computer Formed

Eco Data Centre

Analytic Service

USP V Released USP Next Released

Eco Data Centre

Build Service

Eco Data Centre

Design Service

EuP EcoProducts 1st Phase Starts

INDUSTRY TRENDS AND PREDICTIONS

HITACHI ECO DATA CENTRE OFFERINGS

100% of IT product tenders demand

Eco-Labelling (prediction)

• Worldwide spending on business continuity and IT security solutions surpassed $70 billion in 2003 and will reach $118 billion by 2007.

• Data Center 2006 survey reported 53 % percent of companies expect to expand or relocate their data center operations by 2010

• Average FTSE 100 company surveyed has between 3-4 DCS and studies report that the majority are planning data center expansions, with 75% planning to expand in at least two locations.

• With a potential 10-15x increase in power and cooling requirements over the next 2+ years, most legacy data centers just cannot cope.

DATA CENTRE SPACE OVERVIEW

Sources: Data Center Institute, IDC, CB Richard Ellis, Campos Research & Analysis LLC

50% of FTSE CIOs adopted green

strategy (Gartner)

UK announced Climate Change Bill

Greenpeace protest at HP HQ

Google Carbon Neutral Target

HSBC Carbon Neutral Target

New Data Centre Efficiency Standards

Page 10: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

10© 2006 Hitachi Data Systems

Power and cooling exceeds server Spending – IDC 2006

$0

$10

$20

$30

$40

$50

$60

$70

$80

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Installed base(M units)

2

4

6

8

10

12

14

16

18

Spending(US$B)

New server spendingPower and cooling

Power and CoolingInexpensive dense computing and increasing power costs are shifting requirements and spending

What is the greatest facility problem with your primary data center?

Gartner, Best Practices in Data Center Facilities, Michael Bell, October 2006

Excessive Heat

Insufficient Raised Floor

Insufficient Power

Poor Location

Excess Facility Cost

None of the above

29%

21%

29%

6%3%

13%

N = 112

Cost of power = cost of purchase for servers (2007), = 40% cost of purchase for storage Power and cooling will be a top 3 issue with all CIOs in the next 6-12 months” - Michael Bell – Gartner

Increasing Expense of Power and Cooling

Page 11: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

11© 2006 Hitachi Data Systems

Components of Data CenterPower Consumption

Storage Power Consumption/GB

Data Center Storage UsageExternal PB Shipped

Data Center Storage Power Growth

Cooling

Server&Storage

Conversion

Network

Light

0

5000

10000

15000

20000

2005 2006 2007 2008 2009 20100

0.20.40.60.8

11.21.41.6

2005 2006 2007 2008 2009 2010

0

0.2

0.4

0.6

0.8

1

2005 2006 2007 2008 2009 2010

Expected Storage Power Growth

Page 12: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

12© 2006 Hitachi Data Systems

Where Storage is Going

Separation of Storage Controller from the Disk Array

Control UnitCommodity Media Commodity Media

Control UnitINTELLIGENT

Cheap SATA DiskOther High End Arrays

Hitachi has changed the playing field by separating the commodity media (disks) from the innovation (Universal Storage Platform intelligent control unit) required to provide

storage, data, and content services, providing TOTAL FLEXIBILITY.

Page 13: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

13© 2006 Hitachi Data Systems

The Storage Industry: The Future View

• A Virtual storage infrastructure to match dynamic business growth

• Consolidation of management through one common interface without vendor lock-in

• Add storage as business requires without giving up functionality and without over buying

• Extend the life of current assets and enable easy technology upgrades

• Dynamically move data to the appropriate tier of storage as required.

Page 14: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

14© 2006 Hitachi Data Systems

All Storage Controllers Do Virtualization

• Mainframe CKD (Count Key Data) formats are mapped” to Fixed Block Architecture (FBA) Disks

• Storage Controllers create a Logical Volume from a Redundant Array of Independent Disks (RAID)

• Controllers have years of proven data mobility functions like snap copies, remote replication, Copy on Write

• The storage control unit is the best vehicle for virtualization of external storage

Page 15: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

15© 2006 Hitachi Data Systems

Services Oriented Storage Solutions

Data Replication

Non-Disruptive Data Migration

Volume Management

I/O Load Balancing

Dynamic Provisioning

DataDe-Duplication

Data Classification

Business Continuity

Content Management

File Management

Services

• Applies service-oriented architecture (SOA) concepts to storage • Enables storage to be provisioned and managed according to business

needs, not technology constraints

Page 16: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

16© 2006 Hitachi Data Systems

Drivers of Storage Capacity

Drivers of Storage Capacity Spending in 2004 by Company Size

Data protection andDisaster recovery

E-mail

Archiving of data

File sharing

Data warehousing/Business intelligence

Data imaging (e.g., photos, x-rays, video)

Website/ecommerce

ERP

Regulatory mandates

Source: InfoWorld Storage Survey, 2004

(% of respondents)

100-999 employees 1,000-9,999 employees 10,000+ employees

0 10 20 30 40 50n = 599Notes:Data only includes those items that were selected by more than 10% of respondents.Multiple responses were allowed.

Page 17: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

17© 2006 Hitachi Data Systems

Open Systems and z/OS support Source Copy + 3 Target Copies:

10 Copies Total

… Open Systems also support SIX Cascade Copies:

Copies can be used for:Copies can be used for:

• BackupBackup

• RestoreRestore

• QueriesQueries

• TestingTesting

• DevelopmentDevelopment

… … Without disrupting Without disrupting the primary DBS!the primary DBS!

4 Copies Total4 Copies Total

CascadeCascadeCopy 1Copy 1

CascadeCascadeCopy 2Copy 2

CascadeCascadeCopy 3Copy 3

CascadeCascadeCopy 4Copy 4

CascadeCascadeCopy 5Copy 5

CascadeCascadeCopy 6Copy 6

TargetCopy 1

TargetCopy 1

TargetCopy 3

SourceSourceCopyCopy

Hitachi ShadowImage- Full Cascade

4 Copies 4 Copies Total

CascadeCopy 1

CascadeCopy 2

CascadeCopy 3

CascadeCopy 4

CascadeCopy 5

CascadeCopy 6

TargetCopy 1

TargetCopy 2

TargetCopy 3

SourceSourceCopyCopy

Page 18: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

18© 2006 Hitachi Data Systems

Synchronous Replication

• The remote I/O is not posted “complete” to the application until it is written to a remote system

• The remote copy is always a “mirror” image • Provides fast recovery with no data loss• Limited distance – response-time impact

22

33

11

P-VolP-Vol S-VolS-Vol

44

Page 19: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

19© 2006 Hitachi Data Systems

Asynchronous Replication: Long Distance Remote Copy

• The local I/O is disconnected from the remote I/O

• Very little impact to response time over any distance

• Data integrity and update sequence maintained over any distance

• Fast restart/recovery

DWDM / ATM / IPDWDM / ATM / IPAny DistanceAny Distance

Fibre Fibre ChannelChannel

Fibre Channel

ExtenderExtender ExtenderExtender

P-VolP-Vol S-VolS-Vol

1122

33

Page 20: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

20© 2006 Hitachi Data Systems

Asynchronous Replication – Journal Based

• Lowers resource consumption on production system

• Lowers bandwidth costs

• Journal supports consistency across multiple volumes

• Mitigates the impact of unplanned outages

Primary site

Secondary site

UniversalStorage Platform

WRT

Read journal asynchronously JNLApplication

VolumeJNL Application

Volume

UniversalStorage Platform

Page 21: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

21© 2006 Hitachi Data Systems

3 DC configurations Summary

Primary Secondary

Sync

Cascade

Sync

Multi-Target

Intermediate

SecondaryPrimary

Intermediate

Asynchronous

Asynchronous

Page 22: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

22© 2006 Hitachi Data Systems

Thin Provisioning

Hitachi USP-V

Thin Provisioning is a powerful form of internal storage virtualization

A 2 TB Volume is Created

Traditional Provisioning will allocate the entire 2 TB

Even though there is only 300 GB of actual data

With Thin provisioning…

A 2 TB Volume is Created

And only 300 GB is consumed and allocated

The other 1.7 TB is available for other applications

The other unused 1.7 TB is unavailable to other applications

Page 23: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

23© 2006 Hitachi Data Systems

Mainframe Virtual Tape

• Software application resident on mainframe

• Transparently redirects tape data to any ESCON/FICON connected disk

• Eliminates tape issues• Allows parallel access

to tape• Enhances disaster recovery

23

Storage Subsystem

Mainframe Server

ESCONor FICON

RemoteMirroring

Storage Subsystem

Page 24: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

24© 2006 Hitachi Data Systems

Fixed Content The Largest Source of Data Growth

Page 25: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

25© 2006 Hitachi Data Systems

The Challenges of Fixed Content Archives

Meta Data: Tiger Woods 17th hole 2005 Masters

• Records Management Challenges

– Content in archives must be searchable and retrievable across all data types and applications

– Archives must be immutable

– Meta data to search and access data

– Archived content increasingly needs to be accessed more frequently and at a lesser cost

• IT Challenges

– Archives must be maintained across generations of technology

– Disk based active archive is required to meet today’s business requirements

– Current archiving applications do not scale

– Policies to manage retention

Page 26: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

26© 2006 Hitachi Data Systems

Home Grown Application

PACS

Content Archive Platform:How it Works

• Single platform supporting multiple applications simultaneously

• Common archive functions across content types

– Data and metadata ingest– Authentication and policies

• Embedded full-text indexing and search

– All content in the archive– Retrieve content produced by

different applications• High performance, scalable

and secure storage

File SystemDocument management

E-mail ArchiveSoftware

Result Set

Page 27: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

27© 2006 Hitachi Data Systems

Intelligent Controllers Can Help Address The Problem of Irrational Storage Growth

• Eliminate the need to buy too much storage– Unbundling Tier 1 storage eliminates the need to buy excess

capacity– Ease of migration and provisioning enables incremental growth– Logical partitioning can maintain safe multi-tenancy and QoS

• Eliminate the need to pay too much– Change the ratio from 78% tier 1 to 78% tier 2 and reduce HW

costs by 28% – Use price erosion to advantage

• Adopt “green” initiatives– Reduce/delay storage purchases

• Claim back the data centers– Consolidation and Multi tiers will help to remove Frames, collapse

SANs, decrease footprint, power, and cooling, and extend the life of data centers

Page 28: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

28© 2006 Hitachi Data Systems

Adopt Intelligent Storage Function

• Replication for creating clones– Non-disruptive copies

– Checkpoint DB’s prior to batch processing

• Replication for disaster recovery– Many tools available from the major vendors

– Map RPO/RTO requirements to application requirements

• Workload balancing to (non-disruptively) eliminate “hot spots”• Leverage tiered storage to further reduce costs

Page 29: © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist Hitachi Data Systems.

© 2006 Hitachi Data Systems

Thank You

[email protected]