Advanced

Towards Mission-Critical Control at the Edge and Over 5G

Skarin, Per LU ; Tärneberg, William LU ; Årzén, Karl-Erik LU and Kihl, Maria LU (2018) IEEE Edge In IEEE Edge
Abstract
With the emergence of industrial IoT and cloud computing, and the advent of 5G and edge clouds, there are ambitious expectations on elasticity, economies of scale, and fast time to market for demanding use cases in the next generation of ICT networks. Responsiveness and reliability of wireless communication links and services in the cloud are set to improve significantly as the concept of edge clouds is becoming more prevalent. To enable industrial uptake we must provide cloud capacity in the networks but also a sufficient level of simplicity and self-sustainability in the software platforms. In this paper, we present a research test-bed built to study mission-critical control over the distributed edge cloud. We evaluate system properties... (More)
With the emergence of industrial IoT and cloud computing, and the advent of 5G and edge clouds, there are ambitious expectations on elasticity, economies of scale, and fast time to market for demanding use cases in the next generation of ICT networks. Responsiveness and reliability of wireless communication links and services in the cloud are set to improve significantly as the concept of edge clouds is becoming more prevalent. To enable industrial uptake we must provide cloud capacity in the networks but also a sufficient level of simplicity and self-sustainability in the software platforms. In this paper, we present a research test-bed built to study mission-critical control over the distributed edge cloud. We evaluate system properties using a conventional control application in the form of a Model Predictive Controller. Our cloud platform provides the means to continuously operate our mission-critical application while seamlessly relocating computations across geographically dispersed compute nodes. Through our use of 5G wireless radio, we allow for mobility and reliably provide compute resources with low latency, at the edge. The primary contribution of this paper is a state-of-the art, fully operational test-bed showing the potential for merged IoT, 5G, and cloud. We also provide an evaluation of the system while operating a mission-critical application and provide an outlook on a novel research direction. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Edge cloud computing, Cloud computing, Time- sensitive, URLLC, Mission-critical, 5G, IoT, Control theory, Test-bed
in
IEEE Edge
publisher
IEEE Computer Society
conference name
IEEE Edge
language
English
LU publication?
yes
id
27d699cb-f703-4a74-ae06-991afdb4c6e3
alternative location
https://arxiv.org/pdf/1803.02123.pdf
date added to LUP
2018-07-18 16:03:29
date last changed
2018-09-24 10:46:43
@inproceedings{27d699cb-f703-4a74-ae06-991afdb4c6e3,
  abstract     = {With the emergence of industrial IoT and cloud computing, and the advent of 5G and edge clouds, there are ambitious expectations on elasticity, economies of scale, and fast time to market for demanding use cases in the next generation of ICT networks. Responsiveness and reliability of wireless communication links and services in the cloud are set to improve significantly as the concept of edge clouds is becoming more prevalent. To enable industrial uptake we must provide cloud capacity in the networks but also a sufficient level of simplicity and self-sustainability in the software platforms. In this paper, we present a research test-bed built to study mission-critical control over the distributed edge cloud. We evaluate system properties using a conventional control application in the form of a Model Predictive Controller. Our cloud platform provides the means to continuously operate our mission-critical application while seamlessly relocating computations across geographically dispersed compute nodes. Through our use of 5G wireless radio, we allow for mobility and reliably provide compute resources with low latency, at the edge. The primary contribution of this paper is a state-of-the art, fully operational test-bed showing the potential for merged IoT, 5G, and cloud. We also provide an evaluation of the system while operating a mission-critical application and provide an outlook on a novel research direction.},
  author       = {Skarin, Per and Tärneberg, William and Årzén, Karl-Erik and Kihl, Maria},
  booktitle    = {IEEE Edge},
  keyword      = {Edge cloud computing,Cloud computing,Time- sensitive,URLLC,Mission-critical,5G,IoT,Control theory,Test-bed},
  language     = {eng},
  publisher    = {IEEE Computer Society},
  title        = {Towards Mission-Critical Control at the Edge and Over 5G},
  year         = {2018},
}