Markov Based Computational Tasks Offloading Decision for Face Detection

Abstract

Smart mobile devices are essential for technology trend of modern lifestyles. Mobile applications are getting more diverse and complex with an increasing use of mobile devices. At mobile environment, resource limitation is irresistible extremely; it is a key challenge and can impact on mobile computing performance. Mobile Cloud computing (MCC) is one of the eventual gold computing executions of rich mobile application on an abundance of mobile devices. Limited computational power, storage, and energy are necessary for hardware limitations of offloading. So, the proposed system aims to avoid limitation of devices starting in case of intensive tasks by using dynamic computation offloading of Markov process. The system reduces energy consumption of resource hungry device as the way of taking decision to offload the computing intensive tasks to the remote cloud by the result of our cost model. The experiment shows that the proposed offloading decision solver can reduce not only computing time but also battery usage of mobile device for face detection application compared to the dynamic off loading MAUI decision framework.