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Energy efficiency of mobile clients in cloud computing Antti P. - - PowerPoint PPT Presentation

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Energy efficiency of mobile clients in cloud computing Antti P. Miettinen, Jukka K. Nurminen Nokia Research Center, Helsinki, Finland 22.6.2010 Nokia Research Center 1 Mobile cloud computing Remote processing Local processing Data format?

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Nokia Research Center

Energy efficiency of mobile clients in cloud computing

Antti P. Miettinen, Jukka K. Nurminen Nokia Research Center, Helsinki, Finland 22.6.2010

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Mobile cloud computing

Remote processing Data format? Bitmaps? Vector graphics? Local processing

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Balance: computing versus communication

When is it feasible to move to cloud?

communication computing

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Computing: what is the energy cost?

Large variation

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Computing: current mobile devices

High performance Energy efficiency

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Computing: dynamic power management

DVFS = Dynamic Voltage and Frequency Scaling P ~ V2f V ~ f t ~ 1/f P P t t E = Pt

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Computing: effect of dynamic power management

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Communication: effect of bit-rate and technology

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Communication: effect of traffic pattern

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Communication: effect of DPM

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Computing & communication: Effect of DPM

High performance Energy efficiency ?

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The balance – roughly

1000 cycles

1000 cycles versus 1 byte

1 byte

Cost of computing is reasonably stable Cost of communication has large variance

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Computational intensity

Workload Cycles/byte gzip ASCII compress 330 bzip2 ASCII compress 1080 html2text wikipedia.org 2100 html2text en.wikipedia.org 5900 pdftotext N900 datasheet 960 pdftotext E72 datasheet 8900

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In practice (PDF viewer)

Energy can be saved Performance can be improved

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Fruitful area for further research

  • New computationally intensive applications for mobile devices?
  • Technology development?
  • Radio bit-rates versus computing efficiency?
  • Tools for managing the complexity?
  • Energy aware development tools
  • Energy aware middle-ware?
  • Energy optimized protocols for thin clients?
  • Server side technologies for optimizing client energy efficiency?
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Thank You

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Coarse grain estimation can be simple