Power-aware data management for small devices

Abstract

Pervasive computing devices such as Personal Digital Assistants (PDAs) and laptop computers are becoming increasingly ubiquitous. The future promises even more advanced devices such as digital watches, jewelry, and even clothing. However, as pervasive devices become more widely used for more advanced applications, their resource limitations are becoming more apparent. In this work, we focus on data management and power limitations. We investigate the benefit of using power-aware schemes to automatically manage content across a collection of devices and prolong data availability. We monitor the available energy supply on each device and migrate content from devices that are in danger of dying. In our simulated environment, we have found that, using intelligent techniques for data management can increase the amount of time a collection of devices remains usable by over 2 times. Furthermore, our techniques can perform autonomously, independent of user intervention.