Global Data Allocation Based on User Behaviors in Mobile Computing Environments

In this paper, we utilize 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 environments. User behaviors include user moving patterns and user request patterns. By utilizing the information stored at the servers in the environments, we devise four algorithms focus on different views respectively-average hit ratio, average communication cost, and average response time. According to the data allocation schemes derived from these algorithms, we conduct several experiments to evaluate them and compare them pro and con