Poster Abstract: Ensuring Low-Latency and Scalable Data Dissemination for Smart-City Applications

S. Khare, Hongyang Sun, Kaiwen Zhang, Julien Gascon-Samson, A. Gokhale, X. Koutsoukos
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引用次数: 3

Abstract

Low latency and scalable data dissemination is a critical requirement for many IoT applications, e.g., smart city applications, which are often built over a publish/subscribe communication paradigm. Ensuring low latency requires effective load balancing of the publish/subscribe topics across the different publishers and subscribers. To that end we present ongoing work on a data-driven approach to learning a latency-aware model of IoT broker loads, and in turn using it to determine broker replication, and balancing topics across them.
海报摘要:确保智慧城市应用的低延迟和可扩展数据传播
低延迟和可扩展的数据传播是许多物联网应用的关键要求,例如智能城市应用,这些应用通常建立在发布/订阅通信范式之上。确保低延迟需要跨不同发布者和订阅者对发布/订阅主题进行有效的负载平衡。为此,我们提出了一种数据驱动的方法来学习物联网代理负载的延迟感知模型,并反过来使用它来确定代理复制,并在它们之间平衡主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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