that is a interesting topic. On Thu, Aug 13, 2009 at 1:50 PM, Frank Maker <[email protected]> wrote:
> > Hello, > > I am a Ph.D. student at the University of California, Davis working on > Embedded Software and specifically addressing power consumption on > mobile platforms. We recently had a paper accepted into the > "International Conference on Embedded Software" (EMSOFT 2009 - > http://www-verimag.imag.fr/EMSOFT09/dates.shtml) called "Markov > Decision Process (MDP) Framework for Optimizing Software on Mobile > Phones". This framework was tested using data from an Android G1 and > we are currently working on integrating it into the email client. > > We proposed a framework for tasks that are not time critical (such as > email synchronization), but treat phone calls as the highest priority. > The reason we did this is because we believe that smart phones are > phones first, computers second. Our optimization works like this: > 1) First, we look at the call records to figure out how likely a > phone call is to be received. > 2) Next we create an optimal decision table which will tell > wether you should synchronize or not depending on how much time since > you last synchronized, the amount of battery life left and the current > time. > 3) We create this table by predicting your charge time and then > working backwards to figure out the best decision table. The goal is > to synchronize as much as possible, but still ensure that you can > receive phone calls. > 4) We do this by using a hard to explain set mathematical > equations to figure out if it is "worth it" to synchronize or not. (I > can post more details about the math if people are interested, but I'm > not sure how much interest there would be in that level of detail ;-) > > I am very interested in getting questions, comments and general > feedback from you, the Android developer community, on this technique. > You can find the full paper here: > > http://www.ece.ucdavis.edu/mcsg/pubs/emsoft09.pdf > > Thanks for your feedback! > -Frank > > ABSTRACT > We present a framework based on Markov decision process > to optimize software on mobile phones. Unlike previous > approaches in literature that focus on energy optimization > while meeting a speci c task-related time constraint, we > model the desired talk-time as an explicit user given pa- > rameter and formulate the optimization of resources such > as battery-life on a mobile phone as a decision processes > that maximizes a user speci ed application speci c reward > or utility metric while meeting the talk-time constraint. We > propose e cient techniques to solve the optimization prob- > lem based on dynamic programming and illustrate how it > can be used in the context of realistic applications such as > WiFi radio power optimization and email synchronization. > We present a design methodology to use the proposed tech- > nique and experimental results using the Android platform > from Google running on the HTC mobile phone. > > > -- Regards, Michael Leung http://www.itblogs.info http://www.michaelleung.info --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Android Developers" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/android-developers?hl=en -~----------~----~----~----~------~----~------~--~---
