1 © Copyright 2007 EMC Corporation. All rights reserved. Energy for the Future Strategies for Data...

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1 © Copyright 2007 EMC Corporation. All rights reserved. Energy for the Future Strategies for Data Center Energy Efficiency

Transcript of 1 © Copyright 2007 EMC Corporation. All rights reserved. Energy for the Future Strategies for Data...

1© Copyright 2007 EMC Corporation. All rights reserved.

Energy for the Future

Strategies for Data Center Energy Efficiency

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“Gartner predicts half of data centers will run out of power by 2008”

— Gartner Conference Headline Computerwire, December 6, 2006

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“The greatest impediment to growth in our data centers is caused by power and cooling limitations.”

— CIO, Large Insurance CompanyEMC Briefing Center

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Energy Consumption in the Data Center

What makes energy more important now?

How should demand be measured?

Where are the big opportunities to save energy and reduce cost?

4

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Energy Demand and Moore’s Law

Moore’s Law: computer performance will roughly double every 18 months

– Driving higher processor and memory performance– Higher performance leads to hotter components that are more

densely packed, consuming more power in less space– Higher power density requires increased cooling power

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More IT applications. More data. More servers. More storage. More energy demand.

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Power Supplied in the DC

Computer Rm. AC 34%

Server/Storage 50%

Conversion 7%

Network 7%

Lighting 2%

Source: APC

Where Does the Power Go? Losses in Power Generate Heat

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0

1,000 PB

2,000 PB

3,000 PB

4,000 PB

2003 2004 2005 2006

840 PB

1,295 PB

3,235 PB

2,075 PB

Managing Growth

56%CAGR

0

5,000 PB

10,000 PB

15,000 PB

20,000 PB

5,047 PB

7,873 PB

12,283PB

19,161PB

2007 2008 2009 20102003 2004 2005840 PB 1,295 PB

2,075 PB

2006

3,235 PB

56% CAGR

External Storage – PB Shipped(Source: IDC)

Store More

Then: Now:

Store MoreIntelligently!

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But IT Assets in General are Poorly Used

Typical Utilization Rates

Servers: 5-15%PCs: 10-20%

Direct-attach storage: 20-40%

Network storage: 60-80%

A typical x86 serverconsumes between 30% and 40%of its maximum power when idle

Sources: VMware, Microsoft, EMC

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Energy Consumption in the Data Center

What makes energy more important now?

How should demand be measured?

Where are the big opportunities to save energy and reduce cost?

9

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Measuring Energy Consumption

When provisioning a data center power and cooling, would you…

1. Add up all of the circuits and calculate sum of circuit ratings?

Total current = 100A

2. Calculate the sum of all of the equipment specification sheets?

E.g., total current = 38A

3. Calculate from actual measurements?

E.g., total current = 28A

Typical IT load is significantly less than design capacity.

50A Circuit 50A Circuit

Configuration Workload Duty cycle Battery recharge state

Redundant power feeds Safety ratings

Additional Considerations

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Prior to installation you need to understand: Specific equipment configurations Normal and abnormal operating modes

Calculate: Base system power

– System enclosure– Disk enclosures

Component power– Disk drives by speed– Front-end components– Back-end components– Memory modules

Actual power consumption and heat dissipation for:

– Typical load– Maximum load– Special conditions

Energy Consumption of YOUR Storage Array

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Energy Consumption in the Data Center

What makes energy more important now?

How should demand be measured?

Where are the big opportunities to save energy and reduce cost?

12

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Virtualize servers

Tier and optimize storage

Exploit software functionality

Streamline backup and archive

Eliminate redundant data

Consolidation and Capacity Management Combine Technology and Best Practice to Save Energy

ConsolidateServers

ConsolidateStorage

Leverage Services

Manage Total Capacity andSave Energy Through ILM

App App App

Delete when value = 0

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Server Consolidation Power Benefits

Server consolidation through virtualization can save over 80% on power consumption

– Purchase fewer servers and infrastructure– Run the equipment at a higher utilization

Requires understanding and planning– What are workloads?– What are server capabilities?– Planning and configuration tools– Monitoring and reporting tools

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Large Scale VMware Server Consolidation

Increased server utilization to nearly 80%

Consolidated servers by a 20:1 ratio

Data center space at 20:1

No staff increase in 2.5 years

New servers deployed in hours not weeks

1200 Servers Virtualized on 60 Physical Chassis

~ Power and cooling savings @ .15kWh

$620 per server

$706,406 annual power savings

DR - Site

Production

SANBackupServer

DEV/TESTBackupServer

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What Is Optimized Storage?

Consolidated platforms– Shared resources, higher utilization

Tiered storage– Different storage for different workloads

“Pay as you grow” configuration flexibility

– Capacity, performance, connectivity

Performance management– Minimize disk accesses to use larger

capacity disks

Managed capacity– ILM, minimize/prune full copies, use

incremental copies, and redundant data elimination

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Lower Costs Improve Business Value

Symmetrix DMX-3 and Information Lifecycle Management

RAID 115K 146 GB

RAID 510K 300 GB

RAID 57.2K 500 GB

RAID 57.2K 500 GB

RAID 115K 146 GB

RAID 510K 300 GB

RAID 57,200

500 GB

RAID 57,200

500 GB

Consolidated Storage, Protection, Management and Energy Efficiency

Reduce operational overhead and complexity

Simplified storage management Common functionality

Tier 1Information

Tier 3Information

Tier 2Information

New uses:backup2disk,

testing, reporting

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Storage Savings on Capital, Management, and EnergyEMC Customer Example: Major Wireless Provider

Annual Energy Savings: 1,296,480 kWh/$194,472

44 EVA 5000 systems consolidated to 2 DMX-3 systems

EVA885 TB in 146 GB drives

DMX-3934 TB in 146 GB and 300 GB drives

317 kW Power and Cooling 169 kW

$416,538 Annual Cost @.15 kWh $222,066

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Tiered Storage and Power Consumption500 GB of data on different capacity/performance drives

Lower capacity drives consume more power per GB

0

50

100

150

200

250

300

350

400

450

15K 73GB 15K 146GB 10K 300GB 7.2K 500GB

Drive Type

An

nu

al E

ner

gy

Co

st

333 kWh/yr

*.15 kWh

613 kWh/yr

1288 kWh/yr

2575 kWh/yr

84%

287%

674%

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As much as

70%of file data

is never accessed

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Software Enables “In the Box” Data Mobility

4 Gb/s 4 Gb/s 4 Gb/s4 Gb/s 4 Gb/s 4 Gb/s

2 Gb/s 2 Gb/s 2 Gb/s2 Gb/s 2 Gb/s 2 Gb/s

4 Gb/s 4 Gb/s 4 Gb/s

2 Gb/s 2 Gb/s 2 Gb/s

Policy-Based Movement

Tier 1 Capacity

Tier 2 Capacity

CLARiiON Virtual LUN technology.

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Existing Clusters

This is a small part of our infrastructure – more than 3000 ESX servers are in use

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Cost Savings

Consolidation Ratio: 5 to1

New Servers: 160

1 Year Cost: $ 2,124,006

Consolidation Ratio: 40 to1

New Servers: 10

1 Year Cost: $ 297,440

Existing Growth Plan25% Physical / 75% VM

Mix of 2950’s and 6950’s

New Growth Plan100% VM

Intel Quad, Quad Core

First Year Cost Avoidance: $ 1,826,566

5 Years: $ 9,132,830

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EMC Applications Running On VMs

Powerlink

eServices

eRoom

EMC.com

PlanIT

Business Edge

WebMethods

Exchange OWA

LCS

Citrix

Speed

WindChill

ClearQuest

ELMS

SCBS (EDGE)

Heat

ReqPro

DMS

SYR

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EMC’s new standard Virtual Infrastructure Standard Q4 deployment

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Reduce Capacity Increase Utilization

EMC Software and Hardware Can Reduce Energy Use

Storage tiering

LC-FC and xATA Drives (with RAID 6)

Virtual LUNS: CLARiiON and Symmetrix (5772)

FileMover and Xtender Products

Invista

Open Replicatorand SAN Copy

Snaps

Clones

Compression(SRDF/A, RecoverPoint,

Disk Library…)

Avamar

Centera

Rainfinity

Storage consolidation

Celerra Thin Provisioning

SRDF Native GigE

Cache/Algorithms

Smarts ADM

Documentum

EMC Global Services Support

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Space Saving SnapShots

Source3 TB

Based on a 30% change rate

Save Area~900 GB

Full-volume copies

Source3 TB

6:00 a.m.3 TB

12:00 p.m.3 TB

6:00 p.m.3 TB

12:00 a.m.3 TB

Database checkpoints every six hours in a 24-hour period

Requires 12 TB of additional capacity

Database checkpoints every three hours in a 24-hour period Point-in-time “images”

Requires ~900 GB of additional capacity

6:00 a.m.

9:00 a.m.

12:00 p.m.

3:00 p.m.

6:00 p.m.

9:00 p.m.

12:00 a.m.

3:00 a.m.

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Redundant DataCreates Backup Explosion

Stored Backup

Data

5MB 25MB 250MB

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A B C D

Deduplication Server (stored backup data)

Only unique data segments are backed up

E

E

AB

CD

Data already backed up, so only a unique ID pointer

is stored (20 bytes)

New data segment identified and backed up

Applying De-duplication

First Instance Duplicate Instance Modified Instance

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Use Case for De-duplicationState of Virginia

Before De-duplication

73 remote offices, backup to local, direct-attached tape drives

No local IT staff

Daily backup required five hours per site

Six hours to restore entire server

With De-duplication

Four hours to backup all 73 offices via existing WAN (56k-T1) to central de-dup server

45 minutes to restore entire server - files restored in seconds

Centralized management & control

“De-duplication enabled us to reduce administrative support requirements by 80%, reduce backup windows by 90%, and recover lost files & servers in minutes rather than hours.”

- Mike DePhillip, Virginia DMV

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“Store More Intelligently” Consolidates and Manages Assets

Store More Intelligently

Virtualizes servers

Consolidates storage

Consolidates infrastructure

Saves capital costs

Conserves energy

ArchiveData

ProductionData

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ArchiveData

BackupData

Clones

Archive inactive data

Streamline backups

Eliminate redundant data

Utilize snaps for incremental changes

RemoteVolumes

SnapsSnapsSnapsSnapsProduction

Data

Tier 3

Tier 2

Tier 1

Classify and tierEMC Classification Services Symmetrix, CLARiiON, Celerra

Centera, RainFinity FMA, Xtender Family, InfoScape

Avamar, Single Instance Store

EMC Disk Library, NetWorker

TimeFinder/SnapSnapView, CelerraSnap

Consolidation and Tiering Strategies Yield Energy Efficiency Benefits

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Consolidation and Capacity Management Combine Technology and Best Practice to Save Energy

Virtualize servers

Tier and optimize storage

Exploit software functionality

Streamline backup and archive

Eliminate redundant data

ConsolidateServers

ConsolidateStorage

Leverage Services

Manage Total Capacity andSave Energy Through ILM

App App App

Delete when value = 0

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Call to Action Check List

Get an executive sponsor

Determine your data center power capacity– Are you near or at limits?

Assess your utilization rates and power efficiency– Are you managing your current assets wisely?

Identify and address low hanging fruit first– Do you have stranded servers, over cooling or inefficient data center cooling,

under-utilized storage?

Use TCO when planning new projects– Some technology refresh projects can fund themselves through operational cost

savings

Create an energy strategy– Employ a cross-functional team that treats the data center as a core business

operation of your organization

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Take the Next Step

Speak to your EMC Account Team about – EMC Energy Efficiency Services– Storage consolidation and server virtualization benefits– EMC software to help lower energy consumption

Thanks for listening.