@inproceedings{43a18ac30cb3415897adad238f647216,
title = "When Edge Meets FaaS: Opportunities and Challenges",
abstract = "The proliferation of edge devices and the rapid growth of IoT data have called forth the edge computing paradigm. Function-as-a-service (FaaS) is a promising computing paradigm to realize edge computing. This paper explores the feasibility and advantages of FaaS-based edge computing. It also studies the research challenges that should be addressed in the design of such systems, which are 1) the quick decomposing and recomposing of applications, 2) the trade-off between performance and isolation of sandbox mechanisms, and 3) distributed scheduling. The challenges are illustrated by evaluating existing FaaS-based edge platforms, AWS IoT Greengrass, and OpenFaaS.",
keywords = "Cloud Computing, Edge Computing, function, Function-as-a-Service",
author = "Runyu Jin and Qirui Yang and Ming Zhao",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE International Conference on Edge Computing and Communications, EDGE 2023 ; Conference date: 02-07-2023 Through 08-07-2023",
year = "2023",
doi = "10.1109/EDGE60047.2023.00016",
language = "English (US)",
series = "Proceedings - IEEE International Conference on Edge Computing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "23--25",
editor = "Claudio Ardagna and Feras Awaysheh and Hongyi Bian and Chang, {Carl K.} and Chang, {Rong N.} and Flavia Delicato and Nirmit Desai and Jing Fan and Fox, {Geoffrey C.} and Andrzej Goscinski and Zhi Jin and Anna Kobusinska and Omer Rana",
booktitle = "Proceedings - 2023 IEEE International Conference on Edge Computing and Communications, EDGE 2023",
}