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Five Challenges in Cloud-Enabled Intelligence and Control

Abdelzaher, Tarek ; Hao, Yifan ; Jayarajah, Kasthuri ; Misra, Archan ; Skarin, Per LU orcid ; Yao, Shuochao ; Weerakoon, Dulanga and Årzén, Karl-Erik LU orcid (2020) In ACM Transactions on Internet Technology 20(1).
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 centered around empowering resource-limited edge devices to exhibit intelligent behavior, both in sensing and control. 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.
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
ACM Transactions on Internet Technology
volume
20
issue
1
article number
3
publisher
Association for Computing Machinery (ACM)
external identifiers
  • scopus:85081544929
ISSN
1533-5399
DOI
10.1145/3366021
project
Control over the Cloud - Offloading, Elastic Computing, and Predictive Control
Mission-Critical Control over the Cloud
WASP: Autonomous Cloud
Nordic University Hub on Internet of Things
language
English
LU publication?
yes
id
7ad724ad-6a2c-4736-8b05-07e57cadb1bc
date added to LUP
2019-11-12 13:44:14
date last changed
2022-05-11 22:39:04
@article{7ad724ad-6a2c-4736-8b05-07e57cadb1bc,
  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 centered around empowering resource-limited edge devices to exhibit intelligent behavior, both in sensing and control. 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.}},
  author       = {{Abdelzaher, Tarek and Hao, Yifan and Jayarajah, Kasthuri and Misra, Archan and Skarin, Per and Yao, Shuochao and Weerakoon, Dulanga and Årzén, Karl-Erik}},
  issn         = {{1533-5399}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  series       = {{ACM Transactions on Internet Technology}},
  title        = {{Five Challenges in Cloud-Enabled Intelligence and Control}},
  url          = {{http://dx.doi.org/10.1145/3366021}},
  doi          = {{10.1145/3366021}},
  volume       = {{20}},
  year         = {{2020}},
}