用于物联网中分散数据处理的轻量级消息传递引擎

IF 2.4 Q1 Computer Science
Daniel Del Gaudio, Pascal Hirmer
{"title":"用于物联网中分散数据处理的轻量级消息传递引擎","authors":"Daniel Del Gaudio, Pascal Hirmer","doi":"10.1007/s00450-019-00410-z","DOIUrl":null,"url":null,"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.","PeriodicalId":41265,"journal":{"name":"SICS Software-Intensive Cyber-Physical Systems","volume":"5 1","pages":"1 - 10"},"PeriodicalIF":2.4000,"publicationDate":"2019-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A lightweight messaging engine for decentralized data processing in the Internet of Things\",\"authors\":\"Daniel Del Gaudio, Pascal Hirmer\",\"doi\":\"10.1007/s00450-019-00410-z\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":41265,\"journal\":{\"name\":\"SICS Software-Intensive Cyber-Physical Systems\",\"volume\":\"5 1\",\"pages\":\"1 - 10\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2019-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SICS Software-Intensive Cyber-Physical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00450-019-00410-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICS Software-Intensive Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00450-019-00410-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 7

摘要

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。
A lightweight messaging engine for decentralized data processing in the Internet of Things
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
SICS Software-Intensive Cyber-Physical Systems
SICS Software-Intensive Cyber-Physical Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信