Publication Type
Journal Article
Version
acceptedVersion
Publication Date
2-2020
Abstract
The proliferation of connected embedded devices, or the Internet of Things (IoT), together with recent advances in machine intelligence, will change the profile of future cloud services and introduce a variety of new research problems, both in cloud applications and infrastructure layers. These problems are centered around empowering individually resource-limited devices to exhibit intelligent behavior, both in sensing and control, thanks to a judicious utilization of cloud resources. Cloud services will enable learning from data, performing inference, and executing control, all with assurances on outcomes. The paper discusses such emerging services and outlines five resulting new research directions towards enabling and optimizing intelligent, cloud-assisted sensing and control in the age of the Internet of Things.
Discipline
Artificial Intelligence and Robotics | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
ACM Transactions on Internet Technology
Volume
20
Issue
1
First Page
1
Last Page
19
ISSN
1533-5399
Identifier
10.1145/3366021
Publisher
Association for Computing Machinery (ACM)
Citation
ABDELZAHER, Tarek; HAO, Yifan; JAYARAJAH, Kasthuri; MISRA, Archan; SKARIN, Per; YAO, Shuochao; WEERAKOON MUDIYANSELAGE, Dulanga Kaveesha Weerakoon; and ARZEN, Karl-Erik.
Five challenges in cloud-enabled intelligence and control. (2020). ACM Transactions on Internet Technology. 20, (1), 1-19.
Available at: https://ink.library.smu.edu.sg/sis_research/4852
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/10.1145/3366021