SlideShare a Scribd company logo
1 of 10
Dynamic Data Center with Cell
Computing, N(N) redundancy



                 Simon Rohrich
           simonr@ellipticalmedia.com


                                        1
Introduction
Data Center 2.1 uses EMS’ Cell Computing to attain a “RAID like”
   configuration of cooperating RASERS in a virtualized environment
•   N(N) Redundancy-The points of failure are the number is enclosures
•   Energy Efficiency
•   50-80% Reduced CapEx
•   20-50% Energy Savings
•   Modular and Scalable
•   Rapid Deployment
RASERS’ integrated intelligence will dynamically adjust for
  workload placed on them without power management
  software or network
•    Plug and Play Dynamic Infrastructure
•    Vendor Agnostic
•    Adjust Automatically During Technology Refresh

                                                                         2
TIER IV Redundancy vs. Data Center 2.1
TIER I-IV Data Centers N, N+1,          Cell Computing N(N) redundancy
N+2, N2
Expensive Brick and Mortar Facility     Inexpensive Warehouse/Metal Shell
         Backup           Backup                    Backup   Possible NEDC
  HVAC            Power                    Power    Power
          HVAC            Power                               component
                                            HVAC    HVAC     HVAC     HVAC




                                            HVAC    HVAC     HVAC     HVAC




 $12-25,000/KW Compute Capacity         $5,000/KW Compute Capacity-
                                   50-80% SAVINGS plus more reliability      3
Foundations of Cell Computing: Virtualization, “Services
  (SOA)”, Automation, Dynamic HVAC/ Power Control
•   “Container” or OS Virtualization
     –   Virtual Resource Management
     –   Storage Virtualization
     –   Server Virtualization
•   Services (SOA Service-Oriented Architecture )
     –   Cloud Computing
     –   SaaS
     –   BPM
•   Automation
     –   IBM Tivoli
     –   Dell PAN
     –   SAP
•   Virtualized Power/HVAC Control
     –   Appistry EnergySaver
     –   Cassatt Active Power Management
     –   Virtual Iron LivePower
     –   VMware Distributed Power Management
     –   Platform Computing Dynamic Power Control

                                                           4
RASERs as Component Of Cell Computing
                                    Tier I Virtualization

                                   • Automatically connect
                                    applications to services
      Application Virtualization   • Dynamic & intelligent
                                    provisioning
                                    Tier II Virtualization
   Infrastructure Virtualization   • Dynamic & intelligent
                                    provisioning
                                   • Automatic failover

                                    Tier III Facility Virtualization

                                      Dynamic Power and
                                      HVAC control with or
                                      without network or
                                       third party power
                                         management
                                                                  5
RASER with current Dynamic Data Center Environmental Controls

     Networked Virtualized Power and HVAC Control Application

                         Work Load Monitoring

                            Policy Manager

          Energy Use          Host Power         RASER Optimized
          Scheduler            Manager          Equipment Profiles

                  Resource Demand, Capacity, Usage
               Resource Pool, Cores, Storage Virtual Machines




      Dynamic Infrastructure Power, Airflow, Temperature Set Points




                                                                      6
RASER with EMS’ Plug and Play Integrated Dynamic
                   Environmental/Power Controls
                             Sensor feed to VFD       RASER Unique High
 Vendor Agnostic Real Time    HVAC controller          Efficiency Static
Power Usage, Temp, Airflow       firmware
                                                        Environment
                                            VFD Air
                                             Cycle
  Zero U                                    HVAC 17
Smart PDU                                     KW
w/ Sensors
                                              VFD
                                             Water
                                             Door
                                             20KW
   Sensors:                                   VFD
 Hot Side, Cold
Side Temp, Air                               Water
Flow, Humidity,                              HVAC
                                             30KW

Power Consumption at PDU Data Drives Proactive and Reactive
       Dynamic HVAC/ Power Controls at Rack Level.
            Network/Software not required                   7
Real World Energy Savings = Less OpEX
Power Use Scheduling                          Increase Temp Set Points
  Save 26% Energy Cost




                                                            1° set
        Equipment Profiles                                    point
                                                            increase
   Save 20% HVAC Energy Cost
                     •Temp Set Points
                     •Airflow
                     •Workload Efficiencies

                                                      4% energy
                                                      savings per
                                                      degree increase

                                                                        8
RASER integrated intelligence dynamically adjusting for
core/storage demand with or without network/software
 Compute
 Capacity
                       Inexpensive Warehouse/Metal Shell

               Energy
                                     Virtual
                                                      Equipment
            Policy Driven           Workload          Profile Driven
     10%                            Manager




     50%




     100
      %

                                                                       9
Conclusion
Data Center 2.1 with Cell Computing
and self adjusting RASERS represent
the Future of data center construction.
•Less CapEx
•Less Opex
•More Reliable
•High Density
•Plug and Play dynamic power/HVAC
management
•Scalable
•Modular
•Rapid Deployment




                                          10

More Related Content

What's hot

Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
 
[Case study] Green Mountain Power: Reducing the duration of outages
[Case study] Green Mountain Power: Reducing the duration of outages[Case study] Green Mountain Power: Reducing the duration of outages
[Case study] Green Mountain Power: Reducing the duration of outagesSchneider Electric
 
Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06jeffqw
 
Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...
Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...
Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...Steve Houck
 
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Steve Houck
 
Smart Energy in the Data Center
Smart Energy in the Data CenterSmart Energy in the Data Center
Smart Energy in the Data CenterSteve Houck
 
Implementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data CentersImplementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data CentersSchneider Electric
 
Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14
Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14
Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14Karim Network
 
Demand Controlled Ventilation and Energy Savings
Demand Controlled Ventilation and Energy SavingsDemand Controlled Ventilation and Energy Savings
Demand Controlled Ventilation and Energy SavingsPowercast Sensors
 
Schneider Presentation Seattle 2011
Schneider Presentation Seattle 2011Schneider Presentation Seattle 2011
Schneider Presentation Seattle 2011wlambert_2001
 
challenges in data center
challenges in data centerchallenges in data center
challenges in data centerPons Dela Cruz
 
Ldex Data Sheet 2 D Caa S V3
Ldex Data Sheet 2 D Caa S V3Ldex Data Sheet 2 D Caa S V3
Ldex Data Sheet 2 D Caa S V3mattedgley
 
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...Maria Demitras
 
Short-Circuit Current Ratings and AC Drives
Short-Circuit Current Ratings and AC DrivesShort-Circuit Current Ratings and AC Drives
Short-Circuit Current Ratings and AC DrivesSchneider Electric
 
Datacenter101
Datacenter101Datacenter101
Datacenter101tarundua
 

What's hot (20)

Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...
 
[Case study] Green Mountain Power: Reducing the duration of outages
[Case study] Green Mountain Power: Reducing the duration of outages[Case study] Green Mountain Power: Reducing the duration of outages
[Case study] Green Mountain Power: Reducing the duration of outages
 
Dc
DcDc
Dc
 
Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06
 
Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...
Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...
Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defi...
 
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
 
Smart Energy in the Data Center
Smart Energy in the Data CenterSmart Energy in the Data Center
Smart Energy in the Data Center
 
Implementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data CentersImplementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data Centers
 
Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14
Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14
Datacenter event - pitch - qarnot computing - paul benoit - 15-09-14
 
Demand Controlled Ventilation and Energy Savings
Demand Controlled Ventilation and Energy SavingsDemand Controlled Ventilation and Energy Savings
Demand Controlled Ventilation and Energy Savings
 
Schneider Presentation Seattle 2011
Schneider Presentation Seattle 2011Schneider Presentation Seattle 2011
Schneider Presentation Seattle 2011
 
Data Center Monitoring
Data Center MonitoringData Center Monitoring
Data Center Monitoring
 
challenges in data center
challenges in data centerchallenges in data center
challenges in data center
 
Ldex Data Sheet 2 D Caa S V3
Ldex Data Sheet 2 D Caa S V3Ldex Data Sheet 2 D Caa S V3
Ldex Data Sheet 2 D Caa S V3
 
Data centerefficiency
Data centerefficiencyData centerefficiency
Data centerefficiency
 
Data center hvac
Data center hvacData center hvac
Data center hvac
 
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...
 
Short-Circuit Current Ratings and AC Drives
Short-Circuit Current Ratings and AC DrivesShort-Circuit Current Ratings and AC Drives
Short-Circuit Current Ratings and AC Drives
 
Aurora Australis UK
Aurora Australis UKAurora Australis UK
Aurora Australis UK
 
Datacenter101
Datacenter101Datacenter101
Datacenter101
 

Similar to Data Center 2.1

Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011wlambert_2001
 
Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011wlambert_2001
 
Maximize Your Data Center for Virtualization Initiatives
Maximize Your Data Center for Virtualization InitiativesMaximize Your Data Center for Virtualization Initiatives
Maximize Your Data Center for Virtualization InitiativesSchneider Electric
 
DataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure PresentationDataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure PresentationMuhammad Asad Rashid
 
Implementing the Poughkeepsie Green Data Center
Implementing the Poughkeepsie Green Data CenterImplementing the Poughkeepsie Green Data Center
Implementing the Poughkeepsie Green Data CenterElisabeth Stahl
 
KNGS Green application hosting
KNGS Green application hosting KNGS Green application hosting
KNGS Green application hosting Jan Wiersma
 
Cisco Connected Grid Solutions
Cisco Connected Grid SolutionsCisco Connected Grid Solutions
Cisco Connected Grid SolutionsAmos Simoes
 
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...Spiceworks
 
Power Point Data Centre Uk Limited Apc
Power Point Data Centre Uk Limited ApcPower Point Data Centre Uk Limited Apc
Power Point Data Centre Uk Limited Apccharles1010
 
Instituion Of Engineers Smart Grid Seminar Jul 16 2009
Instituion Of Engineers Smart Grid Seminar Jul 16 2009Instituion Of Engineers Smart Grid Seminar Jul 16 2009
Instituion Of Engineers Smart Grid Seminar Jul 16 2009satyambh
 
神州数码 Jason pan future_clouddatacenterv2
神州数码 Jason pan future_clouddatacenterv2神州数码 Jason pan future_clouddatacenterv2
神州数码 Jason pan future_clouddatacenterv2colderboy17
 

Similar to Data Center 2.1 (20)

Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011
 
Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011Schneider Alex Kretschmer Presentation Deck   Facility Modules Nyc Sept 2011
Schneider Alex Kretschmer Presentation Deck Facility Modules Nyc Sept 2011
 
6 Zone Overview Compatibility Mode
6 Zone Overview Compatibility Mode6 Zone Overview Compatibility Mode
6 Zone Overview Compatibility Mode
 
Maximize Your Data Center for Virtualization Initiatives
Maximize Your Data Center for Virtualization InitiativesMaximize Your Data Center for Virtualization Initiatives
Maximize Your Data Center for Virtualization Initiatives
 
DataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure PresentationDataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure Presentation
 
Lou Fusco - PG&E
Lou Fusco - PG&ELou Fusco - PG&E
Lou Fusco - PG&E
 
The Dreamwatts Smart Meter
The Dreamwatts Smart MeterThe Dreamwatts Smart Meter
The Dreamwatts Smart Meter
 
Implementing the Poughkeepsie Green Data Center
Implementing the Poughkeepsie Green Data CenterImplementing the Poughkeepsie Green Data Center
Implementing the Poughkeepsie Green Data Center
 
KNGS Green application hosting
KNGS Green application hosting KNGS Green application hosting
KNGS Green application hosting
 
Cisco Connected Grid Solutions
Cisco Connected Grid SolutionsCisco Connected Grid Solutions
Cisco Connected Grid Solutions
 
Umit hw6
Umit hw6Umit hw6
Umit hw6
 
Apc - 8dec2010
Apc - 8dec2010Apc - 8dec2010
Apc - 8dec2010
 
Smart grid aep_ge
Smart grid aep_geSmart grid aep_ge
Smart grid aep_ge
 
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
 
DCIM
DCIMDCIM
DCIM
 
Power Point Data Centre Uk Limited Apc
Power Point Data Centre Uk Limited ApcPower Point Data Centre Uk Limited Apc
Power Point Data Centre Uk Limited Apc
 
Data center dynamics
Data center dynamicsData center dynamics
Data center dynamics
 
Instituion Of Engineers Smart Grid Seminar Jul 16 2009
Instituion Of Engineers Smart Grid Seminar Jul 16 2009Instituion Of Engineers Smart Grid Seminar Jul 16 2009
Instituion Of Engineers Smart Grid Seminar Jul 16 2009
 
神州数码 Jason pan future_clouddatacenterv2
神州数码 Jason pan future_clouddatacenterv2神州数码 Jason pan future_clouddatacenterv2
神州数码 Jason pan future_clouddatacenterv2
 
APAC/Uniflair Datacenter chiller plant control
APAC/Uniflair Datacenter chiller plant controlAPAC/Uniflair Datacenter chiller plant control
APAC/Uniflair Datacenter chiller plant control
 

Data Center 2.1

  • 1. Dynamic Data Center with Cell Computing, N(N) redundancy Simon Rohrich simonr@ellipticalmedia.com 1
  • 2. Introduction Data Center 2.1 uses EMS’ Cell Computing to attain a “RAID like” configuration of cooperating RASERS in a virtualized environment • N(N) Redundancy-The points of failure are the number is enclosures • Energy Efficiency • 50-80% Reduced CapEx • 20-50% Energy Savings • Modular and Scalable • Rapid Deployment RASERS’ integrated intelligence will dynamically adjust for workload placed on them without power management software or network • Plug and Play Dynamic Infrastructure • Vendor Agnostic • Adjust Automatically During Technology Refresh 2
  • 3. TIER IV Redundancy vs. Data Center 2.1 TIER I-IV Data Centers N, N+1, Cell Computing N(N) redundancy N+2, N2 Expensive Brick and Mortar Facility Inexpensive Warehouse/Metal Shell Backup Backup Backup Possible NEDC HVAC Power Power Power HVAC Power component HVAC HVAC HVAC HVAC HVAC HVAC HVAC HVAC $12-25,000/KW Compute Capacity $5,000/KW Compute Capacity- 50-80% SAVINGS plus more reliability 3
  • 4. Foundations of Cell Computing: Virtualization, “Services (SOA)”, Automation, Dynamic HVAC/ Power Control • “Container” or OS Virtualization – Virtual Resource Management – Storage Virtualization – Server Virtualization • Services (SOA Service-Oriented Architecture ) – Cloud Computing – SaaS – BPM • Automation – IBM Tivoli – Dell PAN – SAP • Virtualized Power/HVAC Control – Appistry EnergySaver – Cassatt Active Power Management – Virtual Iron LivePower – VMware Distributed Power Management – Platform Computing Dynamic Power Control 4
  • 5. RASERs as Component Of Cell Computing Tier I Virtualization • Automatically connect applications to services Application Virtualization • Dynamic & intelligent provisioning Tier II Virtualization Infrastructure Virtualization • Dynamic & intelligent provisioning • Automatic failover Tier III Facility Virtualization Dynamic Power and HVAC control with or without network or third party power management 5
  • 6. RASER with current Dynamic Data Center Environmental Controls Networked Virtualized Power and HVAC Control Application Work Load Monitoring Policy Manager Energy Use Host Power RASER Optimized Scheduler Manager Equipment Profiles Resource Demand, Capacity, Usage Resource Pool, Cores, Storage Virtual Machines Dynamic Infrastructure Power, Airflow, Temperature Set Points 6
  • 7. RASER with EMS’ Plug and Play Integrated Dynamic Environmental/Power Controls Sensor feed to VFD RASER Unique High Vendor Agnostic Real Time HVAC controller Efficiency Static Power Usage, Temp, Airflow firmware Environment VFD Air Cycle Zero U HVAC 17 Smart PDU KW w/ Sensors VFD Water Door 20KW Sensors: VFD Hot Side, Cold Side Temp, Air Water Flow, Humidity, HVAC 30KW Power Consumption at PDU Data Drives Proactive and Reactive Dynamic HVAC/ Power Controls at Rack Level. Network/Software not required 7
  • 8. Real World Energy Savings = Less OpEX Power Use Scheduling Increase Temp Set Points Save 26% Energy Cost 1° set Equipment Profiles point increase Save 20% HVAC Energy Cost •Temp Set Points •Airflow •Workload Efficiencies 4% energy savings per degree increase 8
  • 9. RASER integrated intelligence dynamically adjusting for core/storage demand with or without network/software Compute Capacity Inexpensive Warehouse/Metal Shell Energy Virtual Equipment Policy Driven Workload Profile Driven 10% Manager 50% 100 % 9
  • 10. Conclusion Data Center 2.1 with Cell Computing and self adjusting RASERS represent the Future of data center construction. •Less CapEx •Less Opex •More Reliable •High Density •Plug and Play dynamic power/HVAC management •Scalable •Modular •Rapid Deployment 10