Probability Model and Replica Allocation Methods in a Multimedia Mobile Learning System

Abstract

Although various mobile learning related topics have been studied, a formal model to evaluate the probability of successful courseware media access in multimedia mobile learning systems has not yet been seen in the literatures. In this paper, we proposed a MAP (media access probability) model to evaluate the successful probability of course materials access. Also, the study of media allocation with replication is important in improving the media access probability. We can mine the moving patterns and media access patterns from moving logs to predict where he may go and what he may need in his next move. Based on the probability model, media access patterns and users moving patterns, the SRAM (static replica allocation method) and DRAM (dynamic replica allocation method) are presented to improve the media access probability.