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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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.

Details

Authors
Organisations
External organisations
  • Ericsson AB
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Communication Systems
  • Computer Systems
  • Control Engineering

Keywords

  • Edge cloud computing, Cloud computing, Time- sensitive, URLLC, Mission-critical, 5G, IoT, Control theory, Test-bed
Original languageEnglish
Title of host publication2018 IEEE International Conference on Edge Computing (EDGE)
PublisherIEEE Computer Society
ISBN (Electronic)978-1-5386-7238-9
Publication statusPublished - 2018 Jul
Publication categoryResearch
Peer-reviewedYes
EventIEEE Edge - Grand Hyatt San Francisco, San Francisco, United States
Duration: 2018 Jul 22018 Jul 7
http://conferences.computer.org/edge/2018/

Conference

ConferenceIEEE Edge
CountryUnited States
CitySan Francisco
Period2018/07/022018/07/07
Internet address

Related projects

Maria Kihl & Emma Fitzgerald

Swedish Government Agency for Innovation Systems (Vinnova)

2018/08/272020/12/31

Project: Other

Christian Gehrmann, Maria Kihl & Martin Hell

Swedish Foundation for Strategic Research, SSF

2018/04/012023/03/31

Project: Other

View all (3)

Related prizes

Per Skarin (Recipient), William Tärneberg (Recipient), Karl-Erik Årzén (Recipient) & Maria Kihl (Recipient), 2018 Jul

Prizes and Distinctions: Prize (including medals and awards)

View all (1)