Research on Data Prefetching Strategy to Support Real-time Transactions Processing in Mobile Learning Environments

In mobile environment, when downloading and opening learning resources it would need the large data communications bandwidth and strong data processing ability. Due to the intrinsic limitations of a mobile environment, there can be long time latency for a data access. Data prefetching is an approach to this problem. in this paper, a improved data prefetching strategy was proposed. based on existed research, when construcing the selected function of expected data it not only considers the time-lines for deadlines of data objects transactions but also consider the changeability, activities and priority factors of events of object datas. Therefore it could have more efficient Experiments result shows that the data prefetching strategies can reduce the deadline ratio of the mobile real-time events, and could support mobile mobile learning resource extraction effectively.