{"title":"Poster Abstract: SmartAppZoo: a Repository of SmartThings Apps for IoT Benchmarking","authors":"Zhaohui Wang, B. Luo, Fengjun Li","doi":"10.1145/3576842.3589162","DOIUrl":null,"url":null,"abstract":"A well-organized SmartApps dataset provides a valuable resource for researchers to evaluate their work on smart home automation systems. The IoTBench dataset created by Celik et al. 1 is a significant contribution to the IoT research community [1]. However, due to the fast growth of SmartApps and the retirement of some old apps, the IoTBench dataset becomes outdated. The research community is in need of a new large-scale and carefully cleaned benchmarking dataset. In this poster, we present a new repository, namely, SmartAppZoo, which contains 3,526 SmartApps collected from GitHub repositories, including 184 SmartThings official apps, 468 third-party apps from IoTBench, and 2,874 new third-party apps. SmartAppZoo is a manually-verified, comprehensive, clean, and diverse IoT benchmarking dataset. SmartAppZoo is available at: https://github.com/SmartAppZoo/SmartAppZoo.","PeriodicalId":266438,"journal":{"name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3576842.3589162","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 well-organized SmartApps dataset provides a valuable resource for researchers to evaluate their work on smart home automation systems. The IoTBench dataset created by Celik et al. 1 is a significant contribution to the IoT research community [1]. However, due to the fast growth of SmartApps and the retirement of some old apps, the IoTBench dataset becomes outdated. The research community is in need of a new large-scale and carefully cleaned benchmarking dataset. In this poster, we present a new repository, namely, SmartAppZoo, which contains 3,526 SmartApps collected from GitHub repositories, including 184 SmartThings official apps, 468 third-party apps from IoTBench, and 2,874 new third-party apps. SmartAppZoo is a manually-verified, comprehensive, clean, and diverse IoT benchmarking dataset. SmartAppZoo is available at: https://github.com/SmartAppZoo/SmartAppZoo.