NETREACT: Distributed Event Detection in Sensor Data Streams with Disaggregated Packet Processing Pipelines

Csaba Györgyi, Károly Kecskeméti, Hiba Mallouhi, Péter Vörös, S. Laki
{"title":"NETREACT: Distributed Event Detection in Sensor Data Streams with Disaggregated Packet Processing Pipelines","authors":"Csaba Györgyi, Károly Kecskeméti, Hiba Mallouhi, Péter Vörös, S. Laki","doi":"10.1109/NetSoft54395.2022.9844106","DOIUrl":null,"url":null,"abstract":"A new phenomenon called in-network computing has recently emerged with the aim of offloading calculations beyond the traditional task of packet forwarding to network switches. One of the most studied in-network computing applications is processing of sensor data streams. Existing works such as FastReact focus on solving this problem using flexible SmartNICs. In this paper, we propose NETREACT: an improved ASIC-oriented design for distributed event detection in sensor data streams to achieve a disaggregated processing pipeline. In contrast to existing approaches, NETREACT distributes the event detection task among a set of switches while leveraging the capabilities of the Intel Tofino platform in terms of boosting throughput and reducing latency. The proposed event-rule disaggregation method has the advantage of overcoming the hardware resource constraints and improving the overall network performance.","PeriodicalId":125799,"journal":{"name":"2022 IEEE 8th International Conference on Network Softwarization (NetSoft)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Network Softwarization (NetSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NetSoft54395.2022.9844106","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

A new phenomenon called in-network computing has recently emerged with the aim of offloading calculations beyond the traditional task of packet forwarding to network switches. One of the most studied in-network computing applications is processing of sensor data streams. Existing works such as FastReact focus on solving this problem using flexible SmartNICs. In this paper, we propose NETREACT: an improved ASIC-oriented design for distributed event detection in sensor data streams to achieve a disaggregated processing pipeline. In contrast to existing approaches, NETREACT distributes the event detection task among a set of switches while leveraging the capabilities of the Intel Tofino platform in terms of boosting throughput and reducing latency. The proposed event-rule disaggregation method has the advantage of overcoming the hardware resource constraints and improving the overall network performance.
基于分组处理管道的传感器数据流分布式事件检测
最近出现了一种叫做网络内计算的新现象,其目的是将数据包转发的传统计算任务转移到网络交换机上。网络计算中研究最多的应用之一是传感器数据流的处理。现有的工作,如FastReact专注于使用灵活的smartnic来解决这个问题。在本文中,我们提出了NETREACT:一种改进的面向asic的设计,用于传感器数据流中的分布式事件检测,以实现分解处理管道。与现有方法相比,NETREACT在一组交换机之间分配事件检测任务,同时利用英特尔Tofino平台在提高吞吐量和减少延迟方面的功能。所提出的事件规则分解方法克服了硬件资源的限制,提高了网络的整体性能。
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 求助全文
来源期刊
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