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Data Center Infrastructure Management ( DCiM ) DCiM is defined by technology researchers and analysts as the integration of

information technology (IT) and facility management disciplines to centralize monitoring, visualization, management, optimization and intelligent capacity planning of a data center’s critical systems.

DCiM solutions provide the decision

support technology to drive greater efficiencies and ROI from the Data Center.

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Key Elements to DCiM Features: • IT and/or Facilities • Monitoring • Visualization • Management

Outcomes: • Planning • Optimization • Efficiencies • ROI • Risk Mitigation

Identify Excessive Power Consumption Electricity amounts to 40% of data centre costs

Inefficient Use of Resources Greater than 50% of data centres see shortages by 2012

Poor Data Centre Utilization Average 65% are overprovisioning just to adapt to capacity requirements

Expensive Business Processes Weeks to months just to get things done

Over Provisioning, Under Provisioning 85% of data centres have inaccurate visibility into their real capacity

Sources: McKinsey & Company, AFCOM, Uptime Institute, Forrester Research, and Gartner

Other Drivers of DCiM

DCIM Feature Currently

Installed

Real-time environmental monitoring and alarming 83%

Real-time power monitoring at device or circuit level 56%

Trending and analysis of historical operational data 55%

Capacity planning for power, cooling, and space 53%

Real-time cooling optimization 28%

Tracking physical location of IT assets 59%

Tracking of IT asset inventory 61%

Datacenter Dynamics Focus Nov, 2012

DCIM Feature Currently

Installed

Geist

Real-time environmental monitoring and alarming 83%

Real-time power monitoring at device or circuit level 56%

Trending and analysis of historical operational data 55%

Capacity planning for power, cooling, and space 53%

Real-time cooling optimization 28%

Tracking physical location of IT assets 59%

Tracking of IT asset inventory 61%

Datacenter Dynamics Focus Nov, 2012

~ 4.0

4.0

4.0

DCIM

Capacity

Planning

Reporting

Dashboards Real-Time

Monitoring

Automation

Control Modeling

Visualization Change

Management Asset

Management

Colocation

Management

9 Core Elements

DCIM

Capacity

Planning

Reporting

Dashboards Real-Time

Monitoring

Automation

Control Modeling

Visualization Change

Management

Asset

Management

Colocation

Management

Today

DCIM

Capacity

Planning

Reporting

Dashboards Real-Time

Monitoring

Automation

Control Modeling

Visualization Change

Management

Asset

Management

Colocation

Management

Environet 4.0

Layer Key Question Example

Strategic / Business Objectives What business outcome do we want to accomplish with monitoring?

Improve uptime, automate manual processes , reporting , control , reduce cost, measure ROI, verify efficiency gains,

Critical Thinking What information do we need in order to accomplish our goals?

rack level vs. branch level monitoring, environmentals, airflow , asset management

Financing What high level support and budget do we have available for a monitoring system?

Justification to “C Suite”. TCO budget (not just system cost). ROI calculations

Monitoring System Features What features do I need to accomplish my goals?

Dashboards, alarm management, capacity planning, asset management, cost analysis

Monitoring System Technologies What technical details are needed? Multiple protocol support, web based, integration friendly

Based on John Stanley and Jonathan Koomey. 2009. The Science of Measurement: Improving Data Center Performance with Continuous

Monitoring and Measurement of Site Infrastructure. Oakland, CA: Analytics Press. October 23, 2009.

Defining the I

Be vendor neutral

Choose an open solution SNMP, Modbus, BACnet, Legacy Systems

Prepare for scale Flexibility to meet future demands

Strive to understand relationships of information How do different areas affect other areas

Choose a holistic solution How does the monitoring system interact with other systems

Steve Yellen – Principal, Aperture Research Institute

Top 5 Monitoring Strategies AFCOM Communiqué – May 2011

Convergence Of Monitoring

“Single Pane Of Glass”

Network Management Systems (NMS)

● SNMP

● ICMP

● HTTP

Building Management Systems (BMS)

● Modbus

● BACNet

● LON

● JBus

● Canbus

● OPC

● N2

● Niagara

● Proprietary

Security Systems

● IP

● CCTV

● WiFi

● Hardwired I/O

Proprietary Systems

● MFG Defined

Convergence

● Multiple protocol monitoring

● Hardwired I/O monitoring

● Multiple methods of annunciating alerts

● Custom graphical displays – Web based –

● 3D modeling

● Mobile access

● Multiple sites into one interface

● (single pane of glass)

● Datacenter metrics

Features of a Comprehensive

Monitoring & Notification Solution

● Capacity planning

● One-line diagrams (power, cooling)

● Asset management

● Space management

● Ability to monitor ALL aspects of the datacenter

● In-band and out-of-band communications

● Comparative analysis (Thermographic,

● Energy Spectrum, Side-by-Side)

● Historical data and reports

Features of a Comprehensive

Monitoring & Notification Solution

● More data isn’t always better

● How does the system interpret that data and help you to make sense of it?

● What are the Key Performance Indicators?

● Capacities

● Loads

● Custom

● What are the Metrics?

● PUE

● Power Utilization Effectiveness

● DCiE

● Data Center Infrastructure Efficiency

● SEER

● Seasonal Energy Efficiency Rating

Beware of Data Overload!

Enough

Humidity

Yet?

Life in a Data Center The DCiM / BAS Challenges

Profound on the increase in reliance on information technology (IT)

systems to support business-critical applications

This unprecedented reliance on data center availability and total cost

of ownership (TCO).

Downtime the number one reason IT managers loss their jobs

71% senior-level personnel believe their company’s business model is

dependent on its data center to generate revenue and/or conduct e-

commerce.

Life is Changing The DCiM / BAS Challenges

Recommendations for fortifying these infrastructures to minimize

downtime and achieve the highest possible return on investment

(ROI).

The average cost of data center downtime was approximately $5,600

per minute.

The average reported incident length of 90 minutes, the average cost

of a single downtime event was approximately $505,500

Unplanned Data Center Downtime

Ponemon Institute

29%

24% 15%

10%

5%

5%

12%

Root Cause of Unplanned Outages

UPS Failure

Human Error

Heat or CRAC

FailureGenerator

IT Eq. Failure

Other

Real-time monitoring and management platform for all

interdependent systems across IT and facility infrastructure

Integrate information technology and facility management to

centralize monitor and control

Intelligent capacity planning of a data center critical systems

Provide a comprehensive view of all resources within the data

center

Achieved through our implementation of specialized hardware,

software and sensors

DCiM and Building Automation System

(BAS)

Real-time monitoring and management platform for all

interdependent systems across IT and facility infrastructure

Integrate information technology and facility management to

centralize monitor and control

Intelligent capacity planning of a data center critical systems

Provide a comprehensive view of all resources within the data

center

Achieved through our implementation of specialized hardware,

software and sensors

DCiM and Building Automation System

(BAS)

DCiM and Building Automation System What We Would Like it to Do

Critical Alarms

Fire Suppression

Leak Detection

Fuel Oil SNMP

Disaster Recovery

Rack Info

Power

UPS

Meters

PDU Generator

Switch

Security

CCTV

Card Access

Biometric

Alarming

HVAC

CRAC

Chiller

Under Floor

VFD’s

Temperature

Humidity

BAS (Legacy Systems and many Current

Systems) They where tasked to control the office area

Most are sole-source and closed software license

They cannot handle of integration challenge

Does not have the tools to provide global control strategies

across multiple sub-system systems

Do not provide the tools to allow management on the enterprise

level

What is the Problem?

Data Center Sub-Systems Legacy systems do not have a communication port

No strategy for global control and monitoring

No understood disaster recovery plan

Current DCiM / BAS should include: Upgrade legacy BAS to current platform by using legacy gateway

drivers

The BAS needs to be “open licensed “– moving away from sole-source

BAS needs to support all data center sub-network protocols

BACnet IP and MSTP

LON

Modbus

SNMP

Wiegand

BAS should be Web based and can be parsed

The system should made all data flat and support global control strategies

Get data to the enterprise level

Best Practice

Data Center Sub-Systems: On any new sub-system should be spec’d to have a communication

port and standardize on the fewest protocols as possible

On legacy sub-system without a communication port… add them….

worse case monitor auxiliary alarm contact

Create a disaster recovery plan in strategic programming and action

plan

Best Practices

Other Practices: Use of refrigerant-based cooling instead of water-based solutions

Eliminating hot spots and high heat densities by bringing precision

cooling closer to the load via row-based precision cooling solutions

Fortifying cooling and IT equipment investments with regular

preventive maintenance and service visits.

Computational Fluid Dynamics

(CFD) services

We run multiple scenarios and

many, many iterations of the model

to develop a complete and

customized thermal solution for

your data center.

Cooling Infrastructure Optimization

Best Practices

Problem Cause

Mixing Recirculation

Short Circuiting

Leakage

Poor Return Path

Humidity Management Distribution

Under Floor Plenum Under Floor Obstructions

Venturi Effect Perf Tile Location

Vortex Generation Pressure Distribution

Legacy Racks Poor Rack Layout

Cooling Infrastructure Optimization

Best Practices

Typical Data Center is overcooled by 2.6X (Uptime Institute Study)

Increased Capacity – Additional

IT Load with Existing Cooling

Infrastructure

Energy Savings – Reduces 20-

30% in Cooling Costs

Thermal Safety – Redundancy

With Existing Systems

Demand Based Cooling System

Cold Aisle Containment (CAC)

Advantages:

Increased Cooling

Efficiency

Elimination of Mixing

Reduced Cooling Costs

Higher Cooling

Predictability

Cold Aisle Containment (CAC)

Concerns:

Under-floor pressure and

Distance to CRAC of

Influence

Limits Server

Density

Redundancy

Increased

Susceptibility to

Unsafe Thermal

Conditions

Reducing Energy Cost and Improving Data

Center Efficiency

Motor and System Retrofits

EC Motors

EC Fan Technology

• Slippage (copper + iron losses)

• Friction losses (mechanical power)

• Variable speed controls require a VFD to be installed

• Reducing losses and increasing efficiency

(no slippage)

• Lower rise in air temperature on air stream

• Built in speed control

AC Motor DC Motor

EC Fan Technology

• Blades curve in direction of wheel rotation

• Air velocity > impeller tip speed

• Energy Transfer is result of high impeller velocities

• Most efficient at low speeds

• Blades curve against the direction of wheel rotation

• Air velocity < impeller tip speed

• More energy efficient than forward curved fan

• Moves air in straight line

9/13/2013 18

Standard –

.90 W/cfm Exiting

CRAC/CRAH Units

Good –

.60 W/cfm Exiting

CRAC/CRAH Units

Better – EC Fans

.30 W/cfm Exiting

CRAC/CRAH Units

9/13/2013 19

26-Ton Stulz

unit (DX)

CFM Amps kW W/CF

M

Before (7.5 HP

motor)

8,321 7.1 5.01 .60

After @ 75% 9800 4.3 3.04 .31

After @ 80% 10,500 4.6 3.25 .31

After @ 85% 11,345 5.3 3.74 .33

After @ 90% 11,573 5.5 3.88 .34

After @ 100% 11,955 5.6 3.95 .33

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Thank You

For Your Time!