Data Center Infrastructure Management ( DCiM )

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2 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. 2

3 Features: IT and/or Facilities Monitoring Visualization Management Key Elements to DCiM Outcomes: Planning Optimization Efficiencies ROI Risk Mitigation 3

4 Other Drivers of DCiM Identify Excessive Power Consumption Electricity amounts to 40% of data centre costs Poor Data Centre Utilization Average 65% are overprovisioning just to adapt to capacity requirements Inefficient Use of Resources Greater than 50% of data centres see shortages by 2012 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

5 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

6 DCIM Feature Currently Installed Real-time environmental monitoring and alarming 83% Geist 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

7 9 Core Elements DCIM Capacity Planning Automation Control Modeling Colocation Management Reporting Dashboards Real-Time Monitoring Change Management Visualization Asset Management

8 Today DCIM Capacity Planning Automation Control Modeling Colocation Management Reporting Dashboards Real-Time Monitoring Change Management Visualization Asset Management

9 Environet 4.0 DCIM Capacity Planning Automation Control Modeling Colocation Management Reporting Dashboards Real-Time Monitoring Change Management Visualization Asset Management

10 Layer Key Question Example Strategic / Business Objectives Defining the I 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 Financing Monitoring System Features What information do we need in order to accomplish our goals? What high level support and budget do we have available for a monitoring system? What features do I need to accomplish my goals? rack level vs. branch level monitoring, environmentals, airflow, asset management Justification to C Suite. TCO budget (not just system cost). ROI calculations 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 The Science of Measurement: Improving Data Center Performance with Continuous Monitoring and Measurement of Site Infrastructure. Oakland, CA: Analytics Press. October 23, 2009.

11 Top 5 Monitoring Strategies AFCOM Communiqué May 2011 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

12 Convergence Building Management Systems (BMS) Modbus BACNet LON JBus Canbus OPC N2 Niagara Proprietary Network Management Systems (NMS) SNMP ICMP HTTP Convergence Of Monitoring Single Pane Of Glass Security Systems IP CCTV WiFi Hardwired I/O Proprietary Systems MFG Defined

13 Features of a Comprehensive Monitoring & Notification Solution 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

14 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

15 Beware of Data Overload! 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

16 Life in a Data Center The DCiM / BAS Challenges Enough Humidity Yet?

17 Life is Changing The DCiM / BAS Challenges Profound on the increase in reliance on information technology (IT) systems to support business-critical applications 71% senior-level personnel believe their company s business model is dependent on its data center to generate revenue and/or conduct e- commerce. This unprecedented reliance on data center availability and total cost of ownership (TCO). Downtime the number one reason IT managers loss their jobs Recommendations for fortifying these infrastructures to minimize downtime and achieve the highest possible return on investment (ROI).

18 Ponemon Institute Unplanned Data Center Downtime 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 Root Cause of Unplanned Outages 5% 10% 5% 12% 29% UPS Failure Human Error Heat or CRAC Failure Generator 15% 24% IT Eq. Failure Other

19 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

20 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

21 DCiM and Building Automation System What We Would Like it to Do Rack Info Disaster Recovery SNMP Fire Suppression Critical Alarms Fuel Oil Leak Detection Switch UPS Power Generator Meters PDU CCTV Humidity CRAC Chiller Alarming Security Card Access Temperature HVAC Under Floor Biometric VFD s

22 What is the Problem? 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 Data Center Sub-Systems Legacy systems do not have a communication port No strategy for global control and monitoring No understood disaster recovery plan

23 Best Practice 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

24 Best Practices 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 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.

25 Best Practices Cooling Infrastructure Optimization 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.

26 Problem Mixing Best Practices Cooling Infrastructure Optimization Humidity Management Under Floor Plenum Venturi Effect Vortex Generation Legacy Racks Cause Recirculation Short Circuiting Leakage Poor Return Path Distribution Under Floor Obstructions Perf Tile Location Pressure Distribution Poor Rack Layout Typical Data Center is overcooled by 2.6X (Uptime Institute Study)

27 Demand Based Cooling System Increased Capacity Additional IT Load with Existing Cooling Infrastructure Energy Savings Reduces 20-30% in Cooling Costs Thermal Safety Redundancy With Existing Systems

28 Cold Aisle Containment (CAC)

29 Cold Aisle Containment (CAC) Advantages: Increased Cooling Efficiency Elimination of Mixing Reduced Cooling Costs Higher Cooling Predictability Concerns: Under-floor pressure and Distance to CRAC of Influence Limits Server Density Redundancy Increased Susceptibility to Unsafe Thermal Conditions

30 EC Motors Reducing Energy Cost and Improving Data Center Efficiency Motor and System Retrofits

31 EC Fan Technology AC Motor DC Motor 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

32 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

33 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/

34 26-Ton Stulz unit (DX) Before (7.5 HP motor) CFM Amps kw W/CF M 8, % % 10, % 11, % 11, % 11, /13/

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