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A Distributed Real-Time Storage Method for Stream Data

机译:流数据的分布式实时存储方法

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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.
机译:随着物联网的发展,及时,快速地存储各种类型的流数据已成为物联网应用的迫切问题。连续面对到达的流数据,数据流存储系统必须及时地持久存储结果。在分析了传输监控系统的流数据特性之后,我们提出了一种基于缓存和一致性哈希的新方法DRS(Distributed Real-time Storage,分布式实时存储)。根据阈值,DRS连续从缓存接收数据,并将数据分布式存储到数据服务器中。实验表明,DRS可以将数据实时存储到数据服务器。

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