Title: Liam Newcombe BCS Data Centre Specialist Group Secretary
1Liam NewcombeBCS Data Centre Specialist Group
Secretary
- Modelling Data Centre Energy Efficiency and Cost
2BCS Data Centre Simulator
- Background
- Overview of Tools
- Structure of the BCS Simulator
- Input Data
- Sample Output
- Development Path
3 4- Power Loss Chain Fossil Fuel CPU Used
5Data 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?
6 7Tool Coverage
- Existing tools
- Computational Fluid Dynamics
- Server benchmarking
- Chiller technology comparisons
- Carbon calculators
- Device specific comparators
8Tool Problem
- When the only tool you have
- is a hammer everything
- looks like a nail1
1) Abraham Maslow
9Tool 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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15Framework 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.
16Framework 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
17- Structure of the BCS Simulator
18BCS Data Centre Model
IT Device Load to Power Function
Data Centre Power Transfer Function
19IT Device
20IT Device Costs
21IT Device in a Data Centre
22IT Device in a Data Centre
23Energy Costs
24Per Device Costs
25 26Fully Representative Data
27Open XML Formats
28 29Simulator 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
30Simulator Output
- Old N1 Data Centre, Nameplate
31Simulator Output
- Old N1 Data Centre, Nameplate
32Simulator 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
33Simulator Output
- New N1 Data Centre, Free Cooling 19C
34Simulator Output
- New N1 Data Centre, Free Cooling 25C
35Simulator Output
- New N1 Data Centre, Free Cooling 25C
36Simulator Output
- New N1 Data Centre, Free Cooling 25C
37 38Development 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
39Development 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
40Development Path
As our understanding of the data centre grows we
will be able to use the more complex capabilities
of the simulator
41Development Path
- Opportunities for Further Research and
Development - IT Device Performance
- Configuration
- Workload
- Generalised Metrics ( Performance / Energy )
- Networking
- Storage
42Development Path
- Opportunities for Further Research and
Development - Application Performance
- Hardware interaction
- Impact of the working data set
- Optimisation
43Development 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
44Development Path
- Opportunities for Further Research and
Development - Physics
- Integrated Computational Fluid Dynamics
- Chiller plant behaviour and management
- Workload assignment
45Development Path
- Opportunities for Further Research and
Development - Electrical / Electronic Engineering
- Power infrastructure performance and loss
characteristics - Dynamic self provisioning electrical
infrastructure