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Thermal Management of Datacenter. Qinghui Tang. Preliminaries. What is data center What is thermal management Why does Intel Care Why Computer Science. Typical layout of a datacenter. Rack outlet temperature T out Rack inlet temperature T in Air conditioner supply temperature T s.

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Thermal Management of Datacenter


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Presentation Transcript
preliminaries
Preliminaries
  • What is data center
  • What is thermal management
  • Why does Intel Care
  • Why Computer Science
typical layout of a datacenter
Typical layout of a datacenter
  • Rack outlet temperature Tout
  • Rack inlet temperature Tin
  • Air conditioner supply temperature Ts
state of art thermal management of data center
State-of-Art Thermal Management of Data Center
  • Power densities are increasing exponentially along with Moore’s Law
  • Current cooling solutions at various levels
    • Chip / component level
    • Server/board level
    • Rack level
    • Data center level
  • S/W based Thermal management solutions – HP+Duke
thermal management of datacenter1
Thermal Management of Datacenter
  • Motivation and significance
    • Compute Intensive Applications (Online Gaming, Computer Movie Animation, Data Mining) requiring increased utilization of Data Center
      • Maximizing computing capacity is a demanding requirement
    • New blade servers can be packed more densely
    • Energy cost is rising dramatically
  • Goal
      • Improving thermal performance
      • Lowering hardware failure rate
      • Reducing energy cost
new challenges
New Challenges
  • Planning perspective: How to design efficient data center?
      • does upgrading 10% blade servers to smart ones help to reduce cost
  • Operation perspective: How to efficiently operate data center and lower the cost?
  • What’s the trade-off between utility cost and hardware failure cost
      • Overcooling: wastes energy and increases utility cost
      • Undercooling: increases frequency of hardware failures
research issues of thermal management of datacenter
Research Issues of Thermal Management of Datacenter

Scheduler

Other Impact

Factors

Control

Thermal

Performance

Evaluation

Cost

Optimization

Abstract Heat

Flow Model

Power & Load

Characterization

Modeling Thermal

Performance

Multiscale &

Multimodal Info

Analysis

Understanding

multiscale and multimodal nature of datacenter management
Multiscale and multimodal nature of datacenter management
  • Information perspective
    • Multiple system variables
    • Different change pattern
    • Different sampling Rate
  • Control perspective
    • Responsiveness
    • Control granularity (spatial and temporal level)
  • Sensitivity Analysis
approaches
Approaches
  • CFD simulation to characterize thermal performance of data center
  • Online measurement and feedback control system
cfd simulation
CFD Simulation

CFD real model based on ASU HPC center

two pronged approach
Two-Pronged Approach
  • Real-time measurement
  • Online lightweight simulation & prediction
different optimization goals
Different optimization goals
  • Maximizing computation capacity given energy cost constraint
  • Minimizing individual cost (computing cost/cooling cost)
  • Achieving thermal balancing