How To Manage Energy At An Energy Efficient Cost

(1)

Energy Management

in a Cloud Computing Environment

(2)

Agenda

§

Green IT Overview

§

Energy Management Solutions

(3)

Data Center Energy Efficiency Challenges

1. Technology Scalability

§

Each DC is unique (business requirements, IT components, facilities etc.)

2. Energy Efficiency Metrics

§

DCIE - Metric (Data Center Infrastructure Efficiency = total energy usage / IT energy consumption) can

be problematic

3. Reliability vs. Energy Efficiency

§

Energy efficiency improvements have to be manageable without compromising reliability of the

operation

4. Integration

§ Integration has to include the underlying IT technology, energy and thermal management,

power delivery technologies as well as cooling and facilities

Winter Spring Fall

(4)

Where does all the Energy go?

Server hardware

Server loads

Data center

Other

70%

Processor

30%

(Power supply, fans, memory,

Processor

Performance, Capacity/ Watt Up to 95% idle resource

Resources

used at

5-20%

average for

appl. load

TYPICAL USAGE RATES Mainframe 80 – 100% UNIX 10 – 20% Wintel 5 – 12%

IT

Power

45%

HVAC,

UPS

55%

100 Units

35 Units

33 Units

Delivered*

End to End

Initiatives

Reduce cooling/UPS needs

vs. energy going in servers,

capture heat at source

(Potential gain 10%)

More efficient cooling

and energy supply

Higher efficiency

infrastructure, power

management' ( > 3yrs

older is good target )

Better server

hardware

design

Reduce idle/unused

capacity which still

consumes energy

(Utilization 5 to 20 % gain)

Enhance resource

usage rate

(consolidation/

virtualization)

Reduce

consumption @

chip level

( Cap power usage )

Advanced

processor

design +

process

*Data source: U.S.

Department of Energy May 18, 2007

1 watt of application computing requires 30+ watts of power

VMware study of over 300,000 servers showed that over 20% of the x86 servers are running below 0.5% utilization with nearly 75% running below 5% utilization.

(5)

A practical Approach to Data Center Management

INFORMATION

TECHNOLOGY

FACILITIES &

PROPERTY

ASSETS

MANAGE

Monitor, trend,

and manage

energy to control

costs and risks

OPTIMIZE

Optimize assets

and infrastructure

for energy

efficiency

DISCOVER

Measure, collect, and

benchmark energy

information to identify

opportunities

REPORT

Track and verify

energy efficiency

for compliance and

stakeholders

(6)

IBM Energy Management Strategy

•Workload Packing

•Workload re-Distribution

•Multi-platform Optimization

•Thermal Monitoring & Mgmt

System Level Efficiency

_{IT Efficiency}

Data Center Efficiency

& Reliability

•Improved Performance / Watt

•Energy Monitoring & Trending

•Dynamic Energy Optimization

•Improved System Utilization

• Active ties between IT and Data

Center Infrastructure

• Integration with Enterprise

Management

• Data Center Efficiency Services

Customer Issues:

Available Power and Cooling have become a barrier to business growth, and the

ability to increase either one is a major investment that clients want/need to delay or

avoid.

(7)

Agenda

§

Green IT Overview

§

Energy Management Solutions

(8)

IBM Integrated Energy Management

Financial Accounting for Energy

Storage & Data Optimization

Energy-Aware Provisioning and

Scheduling

Tivoli Energy Management Solution

Energy Dashboard for Business Service Management

Data Center Mapping and Thermal Maps Optimize Energy

Efficiency of Assets

Enterprise Energy Optimization & Reporting

Tivoli Monitoring for Energy Management

Enterprise Alerting for IT and Facilities

Enterprise

Assets

Discover and Manage Non-IBM Systems

IT Assets

Data Center

Infrastructure

Monitor

HVAC

Lighting

Security

Fire

Chiller

Branch Circuits

For data center mgmt

Enterprise Data Repository 8

MMT

Active Energy Management

IBM Systems Director Active Energy Manager

Discover and Manage IBM Systems Views, Alerting, &

Reporting for IBM Systems

IT Assets

UPS

PDUs

Sensors

CRAC

(9)

KEY CAPABILITIES

• Monitoring and management of IBM Systems

• Power & Thermal trending, Effective CPU trending

• Power Saving, Power Capping

• Discover and monitor legacy and select non-IBM systems through partner solutions

• Energy thresholding

• Event automation

• and much more ….

Overview

• AEM helps companies monitor, measure and control their energy

usage

• AEM is a cornerstone of the IBM energy management framework

IBM Systems Director Active Energy Manager (AEM)

AEM Environment

• Web-based user interface requiring only a

browser

• AEM application supported on: Windows, Linux

on x86, Linux on Power, Linux on System

• Feature of IBM Systems Director

Power & Thermal

Energy & Thermal

Event Monitoring

(10)

AEM Trend Data

§

Show power usage over time

§

Show temperature

§

Show humidity

§

Show graph or table of data

§

Select from 1 hour up to one year

(11)

(12)

(13)

(Data Center) Measurement and Management Technology:

§

Real-time and high resolution Measurements

§

Measurement-based Modeling

§

Management and Control

(14)

MMT Sensing and Measurements

MMT provides both high time & spatial resolution combining

§ High resolution measurements / assessments for base model generation, sensor placement etc. § Real-time sensing for feeding dynamic models

§ External and internal (via AEM, ITMfEM)

§ Wireless and wired solutions

§ Sensor grid solution with 1-wire protocol

§ access points every 2’ for thermal, flow,

acoustics, pressure (all with the same network)

§ Corrosion, power sensors are being developed

§ Robotic 3D dimensional mapping tools for

detailed environmental measurements

§ Adapters to existing data sources

Real-time sensing networks

(MMT 1.5)

Detailed, high resolution assessment and survey data

(MMT 1.0)

(15)

3 _{Implementation of “Best Practices”}

§ Realize air transport energy savings

§ Realize thermodynamic energy savings

à

Achieve reduced energy consumption

à

Potential for deferring new investments

1 _Measure

§ Capture

high

resolution

temperature

data

,

air flow

data

and

infrastructure &

layout data

2 _{Analyze / Model}

§ To identify

improvement

opportunities

model the data

center

and use

optimization

algorithms (“

best

practices rules

”)

Solution Approach – Three Steps

(16)

Agenda

§

Green IT Overview

§

Energy Management Solutions

(17)

(18)

Power Consumption per Cloud Services

Today and Outlook

0 20000 40000 60000 80000 100000 120000

Today TimeUnit 1 TimeUnit 2 TimeUnit 3 TimeUnit 4 TimeUnit 5

k V A

Max. Cooling

Capacitiy / DC

Application Infrastructure OS Web Shop Mail Services:

(19)

Watson

Böblingen

MMT / Cloud R&D Data

Center

Poughkeepsie

Zürich

(20)

(21)

RITTAL CMC

via AEM

Power Monitoring via MMT & AEM

AEM CPU Sensors

(2666 Hz)

MMT GUI

AEM Power Sensors

(900.0 W)

MMT Sensors

AEM Thermal Sensors

inlet (24C) & exhaust (32F)

AEM Humidity

Sensor (13 %)

AEM Assets

(22)

(23)

Advanced Meter

Management (AMM)

Heat and Power

Management

Service (HPMS)

Identify Underutilized

Assets

System power

monitoring and trend

analysis

Optimize

Energy Usage

(MMT)

Energy Aware

Provisioning and

Scheduling

(TPM)

Energy management software solution stack:

Actionable time-relevant management that can inform optimized energy use.

INFORMATION

TECHNOLOGY

_{DATA CENTER}

INFRASTRUCTURE

IBM BB

Energy

Management

Centralized

views and

reports

Active

Energy

Management

(24)

visit

ibm.com/green

(25)

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