Moysis Symeonides, Demetris Trihinas, G. Pallis, M. Dikaiakos
{"title":"演示:模拟5G-Ready移动物联网服务","authors":"Moysis Symeonides, Demetris Trihinas, G. Pallis, M. Dikaiakos","doi":"10.1109/iotdi54339.2022.00026","DOIUrl":null,"url":null,"abstract":"The majority of IoT devices disseminate harvested data through the internet for analysis by cloud services. However, emerging applications, such as autonomous vehicle navigation, are impacted by the Round-Trip-Time between the IoTs and cloud. 5G networks and edge computing promise shorter RTTs by bringing compute and network resources closer to IoT. Network slicing is a key enabler for 5G networks, dividing a physical network among a variety of services under their individual needs. However, the design of a network slice impacts the performance of the mobile IoT applications with owners puzzled among the numerous slice configurations and options. For instance, the placement of network access points and available compute nodes, the wireless protocols, and the midhaul and backhaul QoS are crucial factors impacting service performance with the mobility of entities constituting this issue even more daunting.","PeriodicalId":314074,"journal":{"name":"2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Demo: Emulating 5G-Ready Mobile IoT Services\",\"authors\":\"Moysis Symeonides, Demetris Trihinas, G. Pallis, M. Dikaiakos\",\"doi\":\"10.1109/iotdi54339.2022.00026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The majority of IoT devices disseminate harvested data through the internet for analysis by cloud services. However, emerging applications, such as autonomous vehicle navigation, are impacted by the Round-Trip-Time between the IoTs and cloud. 5G networks and edge computing promise shorter RTTs by bringing compute and network resources closer to IoT. Network slicing is a key enabler for 5G networks, dividing a physical network among a variety of services under their individual needs. However, the design of a network slice impacts the performance of the mobile IoT applications with owners puzzled among the numerous slice configurations and options. For instance, the placement of network access points and available compute nodes, the wireless protocols, and the midhaul and backhaul QoS are crucial factors impacting service performance with the mobility of entities constituting this issue even more daunting.\",\"PeriodicalId\":314074,\"journal\":{\"name\":\"2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iotdi54339.2022.00026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iotdi54339.2022.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The majority of IoT devices disseminate harvested data through the internet for analysis by cloud services. However, emerging applications, such as autonomous vehicle navigation, are impacted by the Round-Trip-Time between the IoTs and cloud. 5G networks and edge computing promise shorter RTTs by bringing compute and network resources closer to IoT. Network slicing is a key enabler for 5G networks, dividing a physical network among a variety of services under their individual needs. However, the design of a network slice impacts the performance of the mobile IoT applications with owners puzzled among the numerous slice configurations and options. For instance, the placement of network access points and available compute nodes, the wireless protocols, and the midhaul and backhaul QoS are crucial factors impacting service performance with the mobility of entities constituting this issue even more daunting.