Compression strategy of structured text based on prior dictionary for data distribution system
Kefei Li, Yijiang Jia, Yunhui Ji, Baodi Xie, Wei Zhang, Ping C. Lu, Jincai Chen · 2022
Data distribution service (DDS) is a middleware API standard from Object Management Group (OMG), which transfers data using a publisher-subscriber model. The number of distributed nodes deployed in today's DDS communication system can reach tens of thousands, thus improving the efficiency of the communication system is important. In this work we present a structured text encoding strategy based on prior dictionary. This compression method has considerable compression effect on structured text such as HTML. In our evaluation, the average data compression rate is reduced by 7.07%, and the average system latency is reduced by 8.61% comparing to Zlib.