{"title":"基于树莓派的计算原型:设计、实现和性能分析","authors":"Seth Wolfgang, Xiang Cao","doi":"10.1109/eIT57321.2023.10187384","DOIUrl":null,"url":null,"abstract":"Nowadays, in Internet of Things (IoT) applications, IoT devices generate and gather data. These data can be handled in different ways. They can be processed by IoT devices directly, by the Cloud, or by the edge servers. In recent years, Raspberry Pi has been developed as a small IoT device for many applications. In this paper, we design and implement various computing models, i.e., Cloud Computing, Edge Computing, and computing on IoT devices, using Raspberry Pis as prototypes. We deploy multiple applications, run hands-on experiments, and analyze the results accordingly. We also compare the performances of these different computing paradigms, and take advantage of the parallel processing capability of Raspberry Pi devices to demonstrate the effectiveness of improving the prototype performance.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Raspberry Pi Based Computing Prototypes: Design, Implementation and Performance Analysis\",\"authors\":\"Seth Wolfgang, Xiang Cao\",\"doi\":\"10.1109/eIT57321.2023.10187384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, in Internet of Things (IoT) applications, IoT devices generate and gather data. These data can be handled in different ways. They can be processed by IoT devices directly, by the Cloud, or by the edge servers. In recent years, Raspberry Pi has been developed as a small IoT device for many applications. In this paper, we design and implement various computing models, i.e., Cloud Computing, Edge Computing, and computing on IoT devices, using Raspberry Pis as prototypes. We deploy multiple applications, run hands-on experiments, and analyze the results accordingly. We also compare the performances of these different computing paradigms, and take advantage of the parallel processing capability of Raspberry Pi devices to demonstrate the effectiveness of improving the prototype performance.\",\"PeriodicalId\":113717,\"journal\":{\"name\":\"2023 IEEE International Conference on Electro Information Technology (eIT)\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Electro Information Technology (eIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/eIT57321.2023.10187384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Electro Information Technology (eIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eIT57321.2023.10187384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Raspberry Pi Based Computing Prototypes: Design, Implementation and Performance Analysis
Nowadays, in Internet of Things (IoT) applications, IoT devices generate and gather data. These data can be handled in different ways. They can be processed by IoT devices directly, by the Cloud, or by the edge servers. In recent years, Raspberry Pi has been developed as a small IoT device for many applications. In this paper, we design and implement various computing models, i.e., Cloud Computing, Edge Computing, and computing on IoT devices, using Raspberry Pis as prototypes. We deploy multiple applications, run hands-on experiments, and analyze the results accordingly. We also compare the performances of these different computing paradigms, and take advantage of the parallel processing capability of Raspberry Pi devices to demonstrate the effectiveness of improving the prototype performance.