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8/4/2019 Intel Data Center Manager Overview 0511
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8/4/2019 Intel Data Center Manager Overview 0511
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Energy Efficiency and
Power ManagementGaining More From Less
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Software and Services Group
Copyright © 2011, Intel Corporation. All rights reserved.*Other brands and names are the property of their respective owners
Intel Confidential
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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Intel Confidential
Power Management in Datacenters
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Copyright © 2011, Intel Corporation. All rights reserved.*Other brands and names are the property of their respective owners
Intel Confidential
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 Confidential
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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