A MapReduce Framework for Heterogeneous Mobile Devices

With the advances of manufacturing process and technology, mobile devices continue to introduce new models so that users are willing to buy to experience in hardware and software performance. After some years, users could accumulate different mobile devices with different computing capabilities. In the paper, we will use heterogeneous mobile devices and a wireless router to build a mapreduce framework. Through the mapreduce framework, we not only can control each mobile device but also execute applications in single mobile device and multiple mobile devices. The mapreduce framework can combine a multi-thread parallel computing with a load balance method to improve the performance. In the experiments, we will run two applications to count word and prime numbers under 4 different types of mobile devices. We will also run the two applications on a PC as a baseline comparison. According to the experimental results, we can demonstrate the feasibility and efficiency of the mapreduce framework for heterogeneous mobile devices.