Perceptual Computing Based Performance Control Mechanism for Power Efficiency in Mobile Embedded Systems

A computing with words/Per-C based user feedback collection model for controlling the processor power efficiency is introduced. Needless to say that CWW/Per(C is a very efficient tool in modelling human perceptions. Here the objects of computation are the words drawn from natural language instead of numbers [22],[23]. Perceptions alone don't make the sole criteria rather the backed logic of reasoning is also a supportive tool in the same scenario. In our present work, we have proposed a new algorithm viz. UFOPeC (user feedback optimized perceptual computing) for obtaining the optimal power efficiency in adaptive computing systems that can run at multiple operating voltages. Our approach models the user satisfaction very well and more realistically as compared to than the other existing mechanisms like HAPPE [1] as we have taken the user feedback in terms of words and modelled the same using the IT2 FSs (interval type(2 fuzzy sets). An appropriate numerical example has been chosen to demonstrate the design of our model.