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

被引：0
|
作者：
Wang, Zhaohui [1 ]
Luo, Bo [1 ]
Li, Fengjun [1 ]
机构：
[1] Univ Kansas, EECS I2S, Lawrence, KS 66045 USA
来源：
PROCEEDINGS 8TH ACM/IEEE CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION, IOTDI 2023 | 2023年
关键词：
Dataset; IoT; SmartThings; SmartApps;
D O I：
10.1145/3576842.3589162
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 However, due to the fast growth of SmartApps and the retirement of some old apps, the IoTBench dataset becomes outdated.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.
引用
收藏
页码：448 / 449
页数：2
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