Poster Abstract: SmartAppZoo: a Repository of SmartThings Apps for IoT Benchmarking

Zhaohui Wang, Bo Luo, Fengjun Li

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 However, due to the fast growth of SmartApps and the retirement of some old apps, the IoTBench dataset becomes outdated.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.