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Page 1: Intel Data Center Manager Overview 0511

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Energy Efficiency and

Power ManagementGaining More From Less

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Energy Efficiency in the Data CenterHow to Gain More from Less

0 25 50 75 100

ManagementSpace Constraints

Energy Efficiency

Availability

Power Density

Heat Density

% % % % %

 “Energy costs are the fastest-rising costelement in the data center”

Gartner

 “Data centers are capacity constrained andnew data centers require multi-million $

investments”IT Ops Manager

Current

0 25 50 75 100

Management

Power Density

Space Constraints

Heat Density

Energy Efficiency

Availability

% % % % %

Future

Top Facility Concerns

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Measure and Monitor

Datacenter KPIs• Space

• Power

• Cooling

• Security

• Environments

The Ramp Up to Energy Savings

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Optimize and Predict

• Cycle systems on and off,move virtual machines, MACorders, find orphaned systems,tech refresh,interdependencies andpotential downtime anddecommission

• Trend analysis and capacityplanning, and “what if”simulations

Reporting

• Exception reporting,workflow ordersand changemanagement

Monitoring

• Server utilization,CPU memory diskand power draw

Inventoryand Visualization

• Inventory of systemsand mapping of thedatacenter facility anddevice locations to therack level

Discovery

• Protocol-baseddiscovery ofservers, storage andnetworking devices; tiesystems to applications

and lines ofbusiness

Source: IDC, 2010

Monitoring Usage andManaging Energy Consumption

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Power Management in Datacenters

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Low levelcommunication

Multivendor/protocol

Scaling

Group powermanagement expertiseSecurity

Management Console

Rack Servers Blade Servers PDU & UPS

GAP

TTM new platformcapabilities

Usage modelimplementation

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Intel® Data Center Manager (DCM)

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DCM SDK (Web Service API)

CONTROLMONITOR TREND

STANDARDSSCALABILITY

An SDK with Web Service APIs for Datacenter Power andThermal Management; Easy to Integrate in the Management Console

Your Management Console

Rack Severs Blade Severs PDU & UPS

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Intel Data Center Manager v2.1 Key Features

MONITORING• Real-time monitoring of actual power and

inlet temp data* aggregated to rack, row,room and user-defined logical groups

CONTROL

• Supports multiple activepower policy types,schedule by time of day

• Co-existing policies atmultiple hierarchy levels

e.g., row, rack, group.Policy accepts SLApriority as directive

TRENDING

• Log power and thermaldata, query trend datausing filters

• Saves 1 year of historydata for capacity

planning

Standards and Scalability

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DCM Support Across Various DevicesNodeManagerenabledservers (LikeDell 6100,1100, 2100)

Dell 11GServer

Dell BladeEnclosure

HPServer*

HPBladeSystemEnclosure

IBM server (Xseries)

IBMBladeCenterChassis

Facility Device(UPS, PDU)

Powermonitor

Yes Yes Yes YesYes,instantaneous

Yes,Instantaneous

YesYes,Instantaneous

Power

control Yes Yes No Yes** No No No No

Thermalmonitor

Yes Yes No Yes No Yes No No

Protocol IPMI iDRACWS-MAN(CMC)

DCMI(iLO)

CLI (OA) IPMI (IMM) CLI (AMM) SNMP

Availability Yes Yes Q2, 2011 Yes Q2, 2011 Q3, 2011 Q2, 2011 Yes

* iLO update might be required** Requires Advanced iLO License*** Subject to change without notice

Best Case

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Data Center Manager Delivers

Power andThermal Monitoring

IncreasedRack Density

Workload PowerOptimization

BusinessContinuity

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DCM Value Drivers – DC’s# Value Driver Actual Estimated

1. Measure energy usage by device: Provides clients ability tobaseline, monitor, analyze and manage energy consumptionacross the enterprise (a factor towards refresh)

100% Accurate Not always accurate

2. Assists power capacity planning by providing actual data onenergy consumption (increase rack density) – real time dataavailable

Accurate all the way to device levelso can drive better capacityplanning

Not always accurate

3. Proactively Identify Failure situations by monitoring eventsaround Power and Thermal (hot spots, CRAH failures)

Need real time monitoring No real time monitoring

4. Energy Efficiency: Improve thermal profile of DC (avoidovercooling and undercooling of DC)

Real time thermal monitoring No thermal estimations

5. Identify dead servers: Servers that are consuming power butrunning no workloads

Real time power monitroing Can be driven if monitoring CPUutilization

6. Power optimization/control Real time connection and control Not possible

7. On demand comute availability (integrate CPU, MEM data – idsleep state and bring up as CPU increases)

LOAD ADAPTIVE SCHEDULING

New capability Not possible with estimation

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• Real-time powerconsumption

• Avoid data center hotspots

• Data center planning

• Intelligent power stripes

replacements

Power andThermal Monitoring

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Baidu current rackdensity unites serverper rack, 385W powerconsumption budgetfor per server.

Stable rack densityincrease policy8 to 9, 342W powerconsumption budgetfor per server.

More efficiency rackdensity increase policy9 to 10, 308W powerconsumption budgetfor per server.

More Compute/Less Energy per Footprint

Additional 40% rack densitycaptured through powercapping, minimalperformance impact

Increasing rack density10-30%, saving $500/server over 4 years with nomajor performance impact

IncreasedRack Density

Maximize CapEx ROI for Available Rack Power

9 unitsserver/rack

10 unitsserver/rack

8 unitsserver/rack

Set rack level power cappolicy 14A (3,080W)

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WATTS SAVED/NODE

0 10 20 30 40

CPU Intensive

IO Optimized Search

Search

Database

HPC/FSI

HPC

     W     O     R     K     L     O     A     D     S

Power Optimization results are dependent on the system configuration and the workload  – results will vary accordingly* Public whitepapers available for download

30W per serversavings with noperformance impact*

~19% per serversavings withoutperformance tradeoff*

~35% power savingsexpected*

100W savings for4 servers for MSFT SQLServer workload*

22W savings perserver on Monte CarloZCS workload

FSI

Provide the Optimized Power Profileper Server/Rack/Floor or Workload/Application

Workload PowerOptimization

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Prolong Operation During DC Outage

Mass policy push oflower power state

     P     O     W     E     R

PRE OUTAGE DURING OUTAGE

BusinessContinuity

Prolong Operation DuringDC Outage

POST OUTAGE

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DCM Customers (Console Vendors)

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• The SDK

• Sample and Examples

• Licensing Options

http://software.intel.com/sites/datacentermanager/

Let’s Get Started

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Thank You


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