@inproceedings{ffc520f9e68046bf92837f215cf8c671,
title = "An empirical characterization of IFTTT: Ecosystem, usage, and performance",
abstract = "IFTTT is a popular trigger-action programming platform whose applets can automate more than 400 services of IoT devices and web applications. We conduct an empirical study of IFTTT using a combined approach of analyzing data collected for 6 months and performing controlled experiments using a custom testbed. We profile the interactions among different entities, measure how applets are used by end users, and test the performance of applet execution. Overall we observe the fast growth of the IFTTT ecosystem and its increasing usage for automating IoT-related tasks, which correspond to 52% of all services and 16% of the applet usage. We also observe several performance inefficiencies and identify their causes.",
keywords = "IFTTT, IoT, Measurement",
author = "Xianghang Mi and Ying Zhang and Feng Qian and Xiaofeng Wang",
year = "2017",
month = nov,
day = "1",
doi = "10.1145/3131365.3131369",
language = "English (US)",
series = "Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC",
publisher = "Association for Computing Machinery",
pages = "398--404",
booktitle = "IMC 2017 - Proceedings of the 2017 Internet Measurement Conference",
note = "2017 ACM Internet Measurement Conference, IMC 2017 ; Conference date: 01-11-2017 Through 03-11-2017",
}