{"title":"A Container-based Architecture to Provide Services from SDR Devices","authors":"E. R. Machado, M. Feldman, I. Müller","doi":"10.1109/INDIN51400.2023.10217954","DOIUrl":null,"url":null,"abstract":"The growing use of Software-Defined Radio (SDR) in computational environments has brought flexibility to the development of applications compared to traditional radio implementation. However, with the hardware-to-software trend, the diversity of current technologies, such as Network Function Virtualization (NFV), cloud computing, Software-Defined Networking (SDN), and emerging Industry 4.0 impose an integration challenge to the SDR. This work presents a method of integrating SDR into network environments through full application containerization. A container-based architecture is proposed, with a possible topology for container storage and management. The architecture was applied to generate two SDR-based applications, a real-time flight tracker web page and a LoRa-based text transfer application. In addition, the appliance of different types of COTS SDRs, USRP 2932, RTL-SDR, and LimeSDR, with the architecture was demonstrated. The results show that the architecture imposes a maximum overhead of 5.1% of CPU utilization and 8.38 s for service startup time, compared to a traditional non-virtualized SDR implementation. The architecture also brings non-functional benefits such as ease of service management, replicability, network isolation options, and a set of features inherited from container virtualization.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN51400.2023.10217954","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
The growing use of Software-Defined Radio (SDR) in computational environments has brought flexibility to the development of applications compared to traditional radio implementation. However, with the hardware-to-software trend, the diversity of current technologies, such as Network Function Virtualization (NFV), cloud computing, Software-Defined Networking (SDN), and emerging Industry 4.0 impose an integration challenge to the SDR. This work presents a method of integrating SDR into network environments through full application containerization. A container-based architecture is proposed, with a possible topology for container storage and management. The architecture was applied to generate two SDR-based applications, a real-time flight tracker web page and a LoRa-based text transfer application. In addition, the appliance of different types of COTS SDRs, USRP 2932, RTL-SDR, and LimeSDR, with the architecture was demonstrated. The results show that the architecture imposes a maximum overhead of 5.1% of CPU utilization and 8.38 s for service startup time, compared to a traditional non-virtualized SDR implementation. The architecture also brings non-functional benefits such as ease of service management, replicability, network isolation options, and a set of features inherited from container virtualization.