An Empirical Characterization of IFTTT: Ecosystem, Usage, and Performance

被引：81

作者：

Mi, Xianghang ^{[1
]}

Qian, Feng ^{[1
]}

Zhang, Ying ^{[2
]}

Wang, XiaoFeng ^{[1
]}

机构：

[1] Indiana Univ Bloomington, Bloomington, IN 47405 USA

[2] Facebook Inc, Cambridge, MA USA

来源：

PROCEEDINGS OF THE 2017 INTERNET MEASUREMENT CONFERENCE (IMC'17) | 2017年

基金：

美国国家科学基金会;

关键词：

IFTTT; IoT; Measurement;

D O I：

10.1145/3131365.3131369

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：398 / 404

页数：7

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