Difference between revisions of "Private:energySaving"

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- Discover if there is any periodicity of the data and use this to help determine sleep cycles
 
- Discover if there is any periodicity of the data and use this to help determine sleep cycles
 
- Provide strong evidence that our solution helps
 
- Provide strong evidence that our solution helps
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==To Do's==
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# Address the items above ^
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# Simulate energy savings using Carson's GLS simulator, please talk to Cameron.
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#*We have also modified the GLS code to replay latency traces. Please read our IRS MM'10 paper.
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# Implement the algorithm into BZFlag.
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#*Play a LAN game setup (2 or 3 players) to test the algorithm in energy savings mode
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#*Play over the Internet against other players to test algorithm in a mixed environment (with nodes without energy savings)
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==References==
 
==References==

Revision as of 09:43, 17 May 2010

Outline of our research direction

Investigate impact on gaming quality

- specifically analyze the trade-off between energy savings and gaming quality.
- find paper to model gaming quality.

Improve algorithm from linear model to exponential curve.

- compare performance between existing solutions, linear, and exponential model.

Expand simulation/implementation to different games.

- find reference to prove DR is used in practice.
- Show that our solution is game independent

Expand analysis to include a global view.

- mathematical model -Performance metric in terms of bandwidth savings, can be calculated from a global view perspective.

Solve receiving mode problems

- Use PSM for AP mode, and rotating host algorithm for ad-hoc. - Please see Yi's thesis work.

Additional Ideas

- slow down the game to XX fps to allow the game to sleep longer. Without affecting gaming quality. - see Claypool's papers regarding frame rates and gaming quality.

Energy Savings Overhead

- Investigate energy constraints for nodes with and without our energy savings algorithm.
- fairness in game play/quality.
- have nodes without energy constraints do more work

Other Notes

- Continue to be vague regarding the specific wireless standard. ie. we don't target WiFi or 3G. Instead, we let the reader decide. - Discover if there is any periodicity of the data and use this to help determine sleep cycles - Provide strong evidence that our solution helps

To Do's

  1. Address the items above ^
  2. Simulate energy savings using Carson's GLS simulator, please talk to Cameron.
    • We have also modified the GLS code to replay latency traces. Please read our IRS MM'10 paper.
  3. Implement the algorithm into BZFlag.
    • Play a LAN game setup (2 or 3 players) to test the algorithm in energy savings mode
    • Play over the Internet against other players to test algorithm in a mixed environment (with nodes without energy savings)


References

Please check these references.

  • Game Action Based Power Management for Multiplayer Online Game, Anand et al.
  • Experiences from Implementing a Mobile Multiplayer Real-Time Game for Wireless Networks with High Latency, Wang et al.
  • Games are Up for DVFS, Gu et al.
  • Fairness in Dead-Reckoning based Distributed Multiplayer Games, Aggarwal et al.
  • A Distributed Power Management Policy for Wireless AdHoc Networks, Chiasserini et al.
  • Energy Consumption in Mobile Phones: A Measurement Study..., Balasubramanian et al. (this is a good starting point to build the testbed)