一、前言在目前大数据以及移动互联网高速发展的新形势下,通过移动互联网下的海量数据通信与管理,可以充分的配置资源,降低成本,充分利用当前数据库以及分布式技术的优势,实现多方合理资源共享以及降低成本,提高政府公共工作效率与利润。海量数据是互联网入口的核心切入点,由于当前分布式存储以及大数据是主要发展趋势与热点领域之一,对于海量数据的存储和管理,通过移动网络传输时,如何进行一定的压缩是当前的主要技术瓶颈。本文即针对此需求,结 I. Preface Under the current situation of big data and the rapid development of mobile Internet, by means of massive data communication and management under the mobile Internet, resources can be fully allocated, costs can be reduced, advantages of current databases and distributed technologies can be fully utilized, and multi-party Rational resource sharing and cost reduction, improve the efficiency and profit of government public works. Massive data is the core entry point of the Internet portal. As the current distributed storage and big data are one of the major trends and hot spots, how to compress a large amount of data for storage and management of mass data transmission over the mobile network is the current The main technical bottlenecks. This article is for this demand, knot