Liam Newcombe BCS Data Centre Specialist Group Secretary PowerPoint PPT Presentation

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Title: Liam Newcombe BCS Data Centre Specialist Group Secretary


1
Liam NewcombeBCS Data Centre Specialist Group
Secretary
  • Modelling Data Centre Energy Efficiency and Cost

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BCS Data Centre Simulator
  • Background
  • Overview of Tools
  • Structure of the BCS Simulator
  • Input Data
  • Sample Output
  • Development Path

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  • Background

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  • Power Loss Chain Fossil Fuel CPU Used

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Data Centre Cost and Energy
For each or Watt my Data Centre consumes what
output do I get? vs. For each Service I deliver
what is the financial and energy cost?
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  • Overview of Tools

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Tool Coverage
  • Existing tools
  • Computational Fluid Dynamics
  • Server benchmarking
  • Chiller technology comparisons
  • Carbon calculators
  • Device specific comparators

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Tool Problem
  • When the only tool you have
  • is a hammer everything
  • looks like a nail1

1) Abraham Maslow
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Tool Problem
  • The data centre is not a set of independent
    components that can be individually tuned
  • The data centre is a complex and interdependent
    system
  • Only a holistic tool can give useful answers

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Framework Tool
  • One tool to cover the entire system, allowing the
    simulation of components in a realistic context.
  • No need to develop more partial tools, you can
    now contribute to the open, trusted tool instead.

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Framework Tool
  • Designed to facilitate the incorporation of new
    or enhanced component models and data
  • Publish performance data in standard formats that
    we can use to compare devices

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  • Structure of the BCS Simulator

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BCS Data Centre Model
  • IT Workload

IT Device Load to Power Function
Data Centre Power Transfer Function
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IT Device
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IT Device Costs
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IT Device in a Data Centre
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IT Device in a Data Centre
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Energy Costs
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Per Device Costs
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  • Input Data

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Fully Representative Data
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Open XML Formats
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  • Sample Output

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Simulator Output
Example Scenario
  • Same Computing Workload
  • 100 One App Per Server Servers
  • 15 Virtualised Servers
  • 10 HPC Grid Servers
  • Old N1 Data Centre, Nameplate Provisioning

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Simulator Output
  • Old N1 Data Centre, Nameplate

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Simulator Output
  • Old N1 Data Centre, Nameplate

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Simulator Output
Example Scenario
  • Same Computing Workload
  • 100 One App Per Server Servers
  • 15 Virtualised Servers
  • 10 HPC Grid Servers
  • New N1 Data Centre, Free Cooling

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Simulator Output
  • New N1 Data Centre, Free Cooling 19C

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Simulator Output
  • New N1 Data Centre, Free Cooling 25C

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Simulator Output
  • New N1 Data Centre, Free Cooling 25C

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Simulator Output
  • New N1 Data Centre, Free Cooling 25C

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  • Development Path

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Development Path
Data Centre energy use and cost is a complex
problem that we are only starting to
understand Deliver marginal and fair share, per
business service energy and financial costs to
enable holistic carbon management
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Development Path
Individual component calculators are
ineffective without the context of a holistic
model Device level A-G style simple labelling is
not effective in a data centre environment
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Development Path
As our understanding of the data centre grows we
will be able to use the more complex capabilities
of the simulator
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Development Path
  • Opportunities for Further Research and
    Development
  • IT Device Performance
  • Configuration
  • Workload
  • Generalised Metrics ( Performance / Energy )
  • Networking
  • Storage

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Development Path
  • Opportunities for Further Research and
    Development
  • Application Performance
  • Hardware interaction
  • Impact of the working data set
  • Optimisation

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Development Path
  • Opportunities for Further Research and
    Development
  • Economics ( Cost and Energy )
  • Intelligent task deployment
  • Per task accounting
  • Automated in-source / out-source decisions
  • Real time cost management and reporting
  • Policy based management

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Development Path
  • Opportunities for Further Research and
    Development
  • Physics
  • Integrated Computational Fluid Dynamics
  • Chiller plant behaviour and management
  • Workload assignment

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Development Path
  • Opportunities for Further Research and
    Development
  • Electrical / Electronic Engineering
  • Power infrastructure performance and loss
    characteristics
  • Dynamic self provisioning electrical
    infrastructure
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