基于MEC边缘云的智慧商城数据更新控制算法

Data Update Control Algorithm of Smart Mall Based On MEC Edge Cloud

针对智慧商城中数据量较大的问题,提出基于MEC边缘云的智慧商城数据更新控制算法。在MEC边缘云环境中将数据信息经过整合分类处理后直接推送至用户端,将万有引力搜索算法和布谷鸟搜索算法融合构建CS-GSA算法,用于MEC边缘云智慧商城数据库数据清洗。在差分数据更新方法中引入游程编码和哈夫曼编码,采用游程编码将连续重复的数据压缩处理,降低数据规模,然后通过哈夫曼编码再次压缩,降低传输过程中的通信开销,实现MEC边缘云智慧商城数据更新。实验结果表明,所提方法的解编码时间、数据更新时间更短、通信开销较小,说明其能够提高数据更新质量。

Due to massive data in smart malls,based on MEC edge cloud,this article proposed an algorithm for controlling the data update of smart malls.In the MEC edge cloud environment,the data information was directly pushed to the client after being integrated and classified.After that,a CS-GSA algorithm was constructed by integrating the gravitational search algorithm and the cuckoo search algorithm,for data cleaning of smart mall databases based on MEC edge cloud.Moreover,run-length coding and Huffman coding were introduced into the differential data update method.Meanwhile,the run-length coding was used to compress the continuous data and thus to reduce the data size.Then,the data was compressed again by Huffman coding to reduce the communication overhead during transmission.Finally,the data update of smart malls based on MEC edge cloud was achieved.Experimental results show that the proposed method has shorter decoding time,data update time,and less communication overhead,indicating that the data update can be improved.