Per-C based green computing model for handheld devices: An application of single person FOU

Green Computing is the area that has proliferated rapidly in recent years. It has proved to be quite useful in reducing the power consumption related expenditures across all the sectors that are having information technology (IT) related services. Developments in the fields of VLSI and communications have provided us with miniature sized highly efficient computing platforms such as tablets, smart phones, etc. However, these devices are constantly criticized for their low battery lives. The concepts of green computing has the potential to extend the battery lives of these small sized computing devices. As more and more applications are being hosted by these modern day devices, our major aim is still to keep a user satisfied with the perceived system performance and elongate its battery life. Humans express in "words" and therefore we make use of perceptual computing to process user feedback about the perceived system performance. Smartphone or tablet is a personal device. Therefore we present in this paper an algorithm called 'TFA (Tablet Frequency Adviser)' that utilizes the concept of single person FOU. Here, the perceived system performance is measured by a single user and not a group of users. The proposed TFA algorithm ensures elongation of the battery life of a tablet with optimum user satisfaction. We have included the experimental results to justify the real-life applicability of the proposed TFA algorithm.