面向大规模数据集成消息中间件系统设计实现

在分布式网络环境中,构造基于消息通信中间件的数据传输系统,能有效地满足数据传输的可靠性、安全性和异步性等企业级需求.然而,随着企业经营规模的扩大,对数据传输系统提出了参与方多、交互数据量大等新的需求,现有的基于点对点(PTP)和发布/订阅(pub/Sub)通信模式的消息中间件难以很好的支持这些新的需求.根据大规模数据传输系统的新特点,结合 PTP 和 Pub/Sub 通信模式,提出了一种基于点对点的发布/订阅消息中间件通信模型(PBPS),并在消息中间件ISMQ基础上提供了实现.实际应用表明,该方法能够有效满足大规模数据传输的要求.

Message-oriented middleware design and implement for large-scale data integration

In distributed networking environment, in order to achieve reliable, secure and asynchronous data transfer, message middleware based system is a widely proved solution. However, with the growth of enterprise scale, new requirements arise, such as too many participants, large amounts of data and so on. The existing PTP or Pub/Sub -based message middleware cannot deal with them properly. According to these new features, a PTP-based Pub/Sub message middleware communication model PBPS is proposed, combining the two communication models PTP and Pub/Sub, and it is implemented based on ISMQ. The result shows that the solution can tackle largescale data transfer efficiently.