An overlay network for integration of WSNs in federated stream-processing environments

Niko Pollner, Michael Daum, F. Dressler, K. Meyer-Wegener
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引用次数: 4

Abstract

This paper presents an approach for seamless integration of hosts in heterogeneous networks in the context of data-stream processing. The integration of multiple heterogeneous hosts from the sensor-node level up to the level of high-performance workstations is one of the most promising concepts for extensive and efficient analysis of streaming data. For controlling such a network, communication between hosts is needed, e.g., to initiate stream processing, to configure queries, and to transmit streams. One of the key challenges is global addressing and transparent yet efficient data exchange despite diverse, differently capable networks involved. For this purpose, we developed a cross-platform overlay network that enables transparent communication between autonomous stream-processing systems on different hosts in miscellaneous networks for both data streams and control commands. The system directly uses underlying native protocols within each network so that the most efficient communication method is applied. Furthermore, global addressing of instances of stream-processing systems and routing over the individual communication paths is provided.
一种用于在联邦流处理环境中集成wsn的覆盖网络
本文提出了一种在数据流处理环境下实现异构网络主机无缝集成的方法。从传感器节点级别到高性能工作站级别的多个异构主机的集成是对流数据进行广泛和有效分析的最有前途的概念之一。为了控制这样的网络,需要主机之间的通信,例如,启动流处理,配置查询和传输流。其中一个关键挑战是全球寻址和透明而高效的数据交换,尽管涉及不同的、不同能力的网络。为此,我们开发了一个跨平台的覆盖网络,可以在不同主机上的自治流处理系统之间透明地通信,用于数据流和控制命令。该系统直接在每个网络中使用底层本地协议,从而应用最有效的通信方法。此外,还提供了流处理系统实例的全局寻址和在各个通信路径上的路由。
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