移动学习代码压缩技术研究与实现

Research and implementation of code compression on M-learning

针对当前移动数据通信资费昂贵、移动互联网带宽小,在研究网络数据压缩原理和移动学习代码压缩方法的基础上,探讨采用MLML标记语言代码优化和代码压缩的方法实现移动学习代码压缩技术,并在此基础上设计并实现了一种移动学习代码压缩系统.实验证明的这种移动学习代码压缩技术能够把移动通信网络的传输负荷和智能移动设备的处理负荷转移到移动学习代码压缩服务器上,从而减少学习者访问数字化移动学习资源时对网络带宽和数据传输速度的要求.

In light of current high mobile data communications charges and small bandwidth of mobile internet,in research of network data compression principle and M-learning code compression method,this paper discusses and adopts MLML optimization and code compression method to realize M-learning code compression.On the basis of this technology,this paper designs and realizes an M-learning code compression system.It proves this M-learning code compression technology can transfer mobile communication network transmission load and intelligent mobile equipment processing load to M-learning code compressionserver,thus reduce the bandwidth and data transmission speed requirements while learners access to digital M-learning resources.