A lightweight messaging engine for decentralized data processing in the Internet of Things

IF 2.4 Q1 Computer Science
Daniel Del Gaudio, Pascal Hirmer
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引用次数: 7

Abstract

Today, Internet of Things applications are available throughout many different domains (manufacturing, health, cities, homes), enabling a high degree of automation to ease people’s lives. For example, automated heating systems in a smart home can lead to reduced costs and an increased comfort for the residents. In the IoT, situations can be detected through interpretation of data produced by heterogeneous sensors, which typically lead to an invocation of actuators. In such applications, sensor data is usually streamed to a central instance for processing. However, especially in time-critical applications, this is not feasible, since high latency is an issue. To cope with this problem, in this paper, we introduce an approach for decentralized data processing in the IoT. This leads to decreased latency as well as a reduction of costs.
用于物联网中分散数据处理的轻量级消息传递引擎
如今,物联网应用遍及许多不同的领域(制造业、健康、城市、家庭),实现了高度自动化,使人们的生活更加轻松。例如,智能家居中的自动供暖系统可以降低成本,提高居民的舒适度。在物联网中,可以通过解释异构传感器产生的数据来检测情况,这通常会导致执行器的调用。在这样的应用中,传感器数据通常流式传输到中央实例进行处理。但是,特别是在时间关键型应用程序中,这是不可行的,因为高延迟是一个问题。为了解决这一问题,本文介绍了一种物联网中分散数据处理的方法。这可以减少延迟并降低成本。
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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来源期刊
SICS Software-Intensive Cyber-Physical Systems
SICS Software-Intensive Cyber-Physical Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
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