Dachi: A networked querying system for industrial Internet of Things applications

A. Rath, Divyasheel Sharma
{"title":"Dachi: A networked querying system for industrial Internet of Things applications","authors":"A. Rath, Divyasheel Sharma","doi":"10.1109/ETFA.2017.8247716","DOIUrl":null,"url":null,"abstract":"Sending all the industrial data to cloud may not be best suited for all Industrial Internet of Things applications. Shipping high-resolution and high frequency (millions/sec) industrial time-series data from thousands of devices may be prohibitively expensive or just infeasible. In such scenarios, it may be better to post targeted queries to the data sources/concentrators across the industrial devices, plants and clouds' networked hierarchy. Hence, in this paper, we propose Dachi, a service that enables on-demand networked querying of data. We present investigations into network topology formation, relaying/broadcast of queries when the destination is known or unknown, management and propagation of routing information distributed across nodes, and nodes crashing, joining or leaving the network by an implementation of the Dachi service.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"30 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2017.8247716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Sending all the industrial data to cloud may not be best suited for all Industrial Internet of Things applications. Shipping high-resolution and high frequency (millions/sec) industrial time-series data from thousands of devices may be prohibitively expensive or just infeasible. In such scenarios, it may be better to post targeted queries to the data sources/concentrators across the industrial devices, plants and clouds' networked hierarchy. Hence, in this paper, we propose Dachi, a service that enables on-demand networked querying of data. We present investigations into network topology formation, relaying/broadcast of queries when the destination is known or unknown, management and propagation of routing information distributed across nodes, and nodes crashing, joining or leaving the network by an implementation of the Dachi service.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大驰:面向工业物联网应用的网络化查询系统
将所有工业数据发送到云端可能并不适合所有工业物联网应用。从成千上万的设备中传输高分辨率和高频率(百万/秒)的工业时间序列数据可能非常昂贵或根本不可行的。在这种情况下,最好是向工业设备、工厂和云的网络层次中的数据源/集中器发布有针对性的查询。因此,在本文中,我们提出了Dachi,一种能够按需网络化查询数据的服务。我们对网络拓扑形成、目的地已知或未知时查询的中继/广播、跨节点分布的路由信息的管理和传播以及节点崩溃、加入或离开网络的Dachi服务实现进行了调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Towards Practical and Formal Security Risk Analysis of IoT (Internet of Things) Applications Modeling Misbehavior Detection Timeliness in VANETs Embedding Anomaly Detection Autoencoders for Wind Turbines The Beremiz PLC: Adding Support for Industrial Communication Protocols Using code generated by MATLAB for the Mold Level Control System of a Continuous Slab Caster in ArcelorMittal Gent
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1