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Control-over-the-cloud: A performance study for cloud-native, critical control systems

Skarin, Per LU orcid ; Tärneberg, William LU ; Årzén, Karl-Erik LU orcid and Kihl, Maria LU (2020) 13th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2020
Abstract
In the Industry 4.0 era, time-sensitive and missioncritical control applications still have a long way to go, from being tied down and co-located with the systems they control, to taking full advantage of the cloud. Conservatively keeping applications local will deprive these complex applications of abundant
compute capacity, wider system integration, and the potential for collaborative control efforts. Feedback control systems are unlike other cloud applications - their performance and objectives can be formally defined, they require timely feedback, and they are sensitive to variations in system performance and noise.
Although resources are plentiful, the cloud is a noisy and latency prone execution environment, detrimental to... (More)
In the Industry 4.0 era, time-sensitive and missioncritical control applications still have a long way to go, from being tied down and co-located with the systems they control, to taking full advantage of the cloud. Conservatively keeping applications local will deprive these complex applications of abundant
compute capacity, wider system integration, and the potential for collaborative control efforts. Feedback control systems are unlike other cloud applications - their performance and objectives can be formally defined, they require timely feedback, and they are sensitive to variations in system performance and noise.
Although resources are plentiful, the cloud is a noisy and latency prone execution environment, detrimental to feedback control system. In this paper, we evaluate a set of cloud platforms and infrastructures with the intention of hosting feedback control systems. In lower levels of the software stack, we observe differences between clouds. Further up in the stack we see the disadvantages of applying cloud native platforms. With an understanding of expected performance we proceed to evaluate a simple control strategy and show how the sensitive nature of control can cause a seemingly adequate cloud platform to pose a high risk, while a seemingly inadequate platform can positively affect the performance of our proposed controller. (Less)
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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
International Conference on Utility and Cloud Computing (UCC)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
13th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2020
conference location
Leicester, United Kingdom
conference dates
2020-12-07 - 2020-12-10
external identifiers
  • scopus:85099589717
project
Control over the Cloud - Offloading, Elastic Computing, and Predictive Control
E! Celtic-Plus 5G PERFECTA
WASP: Autonomous Cloud
language
English
LU publication?
yes
id
f7d4d6e3-d204-4624-bb08-d4e3775fc6e8
date added to LUP
2020-06-11 13:48:42
date last changed
2022-05-12 03:05:18
@inproceedings{f7d4d6e3-d204-4624-bb08-d4e3775fc6e8,
  abstract     = {{In the Industry 4.0 era, time-sensitive and missioncritical control applications still have a long way to go, from being tied down and co-located with the systems they control, to taking full advantage of the cloud. Conservatively keeping applications local will deprive these complex applications of abundant<br/>compute capacity, wider system integration, and the potential for collaborative control efforts. Feedback control systems are unlike other cloud applications - their performance and objectives can be formally defined, they require timely feedback, and they are sensitive to variations in system performance and noise.<br/>Although resources are plentiful, the cloud is a noisy and latency prone execution environment, detrimental to feedback control system. In this paper, we evaluate a set of cloud platforms and infrastructures with the intention of hosting feedback control systems. In lower levels of the software stack, we observe differences between clouds. Further up in the stack we see the disadvantages of applying cloud native platforms. With an understanding of expected performance we proceed to evaluate a simple control strategy and show how the sensitive nature of control can cause a seemingly adequate cloud platform to pose a high risk, while a seemingly inadequate platform can positively affect the performance of our proposed controller.}},
  author       = {{Skarin, Per and Tärneberg, William and Årzén, Karl-Erik and Kihl, Maria}},
  booktitle    = {{International Conference on Utility and Cloud Computing (UCC)}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Control-over-the-cloud: A performance study for cloud-native, critical control systems}},
  url          = {{https://lup.lub.lu.se/search/files/86316845/2020003116.pdf}},
  year         = {{2020}},
}