© 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist...
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Transcript of © 2006 Hitachi Data Systems So Where Were You When Storage Grew Up? Claus Mikkelsen Chief Scientist...
© 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
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
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
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?
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?
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
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
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
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
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
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.
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.
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
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
16© 2006 Hitachi Data Systems
Drivers of Storage Capacity
Drivers of Storage Capacity Spending in 2004 by Company Size
Data protection andDisaster recovery
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.
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
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
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
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
21© 2006 Hitachi Data Systems
3 DC configurations Summary
Primary Secondary
Sync
Cascade
Sync
Multi-Target
Intermediate
SecondaryPrimary
Intermediate
Asynchronous
Asynchronous
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
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
24© 2006 Hitachi Data Systems
Fixed Content The Largest Source of Data Growth
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
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
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
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