Global data allocation based on user behaviors in mobile computing environments

In this paper, we utilized user behaviors to do global data allocation in mobile computing environments. The issue we addressed here is to allocate right data at the right location for whole users in the environment. The user behaviors include user moving patterns and user request patterns. By utilizing the information, we developed four algorithms focusing on different views, respectively, such as hit ratios, communication costs, and response time. According to the data allocation schemes produced from these algorithms, we conducted several experiments to evaluate them and compared their pro and con.