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 | ||
+ | |||
+ | ==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) |
Revision as of 08:33, 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
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)