A Distributed Real-Time Storage Method for Stream Data

With the development of Internet of Things, the timely and fast storage of various types of stream data is becoming the urgent problem to the Internet of Things applications. Facing the arriving stream data continuously, data stream storage system must store the results persistently in a timely way. After analyzing the characteristic of stream data of the transport monitoring system, we propose a new method DRS (Distributed Real-time Storage), which is based on cache and consistent hashing. According to the threshold, DRS receives data from cache continuously and stores data distributively into the data server. Experiments show that DRS can store data to the data server in real time.