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

机译:支持移动学习环境中实时交易处理的数据预取策略研究

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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 construcingt the selected function of expected data it not only considers the time-liness 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.
机译:在移动环境中,下载和打开学习资源时,将需要较大的数据通信带宽和强大的数据处理能力。由于移动环境的固有局限性,数据访问可能会有很长的等待时间。数据预取是解决此问题的一种方法。本文提出了一种改进的数据预取策略。根据已有的研究,在构造期望数据的选定功能时,它不仅考虑数据对象交易截止日期的及时性,而且考虑对象数据事件的可变性,活动性和优先级因素。实验结果表明,数据预取策略可以降低移动实时事件的截止时间,可以有效地支持移动学习资源的提取。

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