Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2019
Abstract
The paper discusses an emerging suite of machine intelligence services that are of increasing importance in the highly instrumented world of the Internet of Things (IoT). The suite, called Eugene, would offer a form of intelligent behavior (based on deep neural networks) to otherwise simple embedded devices; the clients of the service. These devices would benefit from service resources to learn from data and to perform intelligent inference, classification, prediction, and estimation tasks that they are too limited to carry out on their own. The paper discusses the taxonomy of such services and the state of implementation, as well as the various challenges entailed, including scheduling, caching (of intelligent functions), and cooperative learning.
Keywords
Edge computing, Internet of Things, Machine intelligence
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2019 39th International Conference on Distributed Computing Systems ICDCS: Dallas, TX, July 7-10: Proceedings
First Page
1630
Last Page
1640
ISBN
9781728125190
Identifier
10.1109/ICDCS.2019.00162
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
YAO, Shuochao; HAO, Yifan; ZHAO, Yiran; PIAO, Ailing; SHAO, Huajie; LIU, Dongxin; LIU, Shengzhong; HU, Shaohan; WEERAKOON, Dulanga; JAYARAJAH, Kasthuri; MISRA, Archan; and ABDELZAHER, Tarek.
Eugene: Towards deep intelligence as a service. (2019). 2019 39th International Conference on Distributed Computing Systems ICDCS: Dallas, TX, July 7-10: Proceedings. 1630-1640.
Available at: https://ink.library.smu.edu.sg/sis_research/4823
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICDCS.2019.00162