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.