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A strategy for continuously big capacity data transmit/receive process handling in real-time

机译:一种实时连续处理大容量数据的策略

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The real time online analysis system that works under the network condition needs to synchronize and harmonize data transmit/receive process and the data handler, especially when facing huge capacity data with at a high transmit/receive/handle speed. Combined with practical experience, the paper puts forward a circular data buffer cache technology and a multi-threading message passing mechanism. The core of the solution is to: (1) usage of data cache and multi-threading technology to make the data transmit/receive process running at a high speed; (2) take the data cache as a connection bridge to link the data transition and reception two processes by message passing mechanisms with an interactive scheduling management, thus the two processes stand-alone that are closely interrelated may be able to run simultaneously in one system completed the required work, not only interrelated, but also interact with each other. In the end of the paper, an example of real-time flying objects monitoring system is presented to illustrate the feasibility and the practicability of the technique, and the result shows that the strategy for continuously big capacity data transmit/receive process handling in real-time can boost the efficiency and speed of data access, enhancing data security and the whole system adaptability.
机译:在网络条件下工作的实时在线分析系统需要同步和协调数据发送/接收过程和数据处理程序,尤其是当面对具有高发送/接收/处理速度的大容量数据时。结合实际经验,提出了一种循环数据缓冲区缓存技术和一种多线程消息传递机制。该解决方案的核心是:(1)利用数据缓存和多线程技术使数据发送/接收过程高速运行; (2)以数据缓存为连接桥,通过消息传递机制和交互式调度管理将数据转换和接收两个过程链接在一起,因此紧密相关的两个独立过程可以在一个系统中同时运行完成了所需的工作,不仅相互联系,而且彼此互动。最后,以一个实时飞行物体监控系统为例,说明了该技术的可行性和实用性,结果表明,该策略可以实时地连续处理大容量数据。时间可以提高数据访问的效率和速度,增强数据安全性和整个系统的适应性。

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