Master data

Title: Preemptive Online Scheduling in the Computing Continuum
Subtitle:
Abstract:

Due to the high heterogeneity of the resources across the computing continuum, it becomes increasingly difficult to efficiently schedule the modern IoT applications while guaranteeing the lowest possible execution time. Traditional scheduling approaches consolidate the IoT applications on a restricted number of computing continuum resources and are conducted offline, leading to resource over-provisioning and performance bottlenecks. This paper introduces an online preemptive algorithm for scheduling IoT applications, named PASIoT, tailored explicitly for the computing continuum. To validate the behavior of PASIoT, we compared it with a state-of-the-art scheduler over a real-life test bed. The evaluation results showed that the PASIoT approach achieved 10 – 50% lower IoT application completion time than related works.

Keywords: component, formatting, style, styling, insert
Publication type: Article in Proceedings (Authorship)
Publication date: 14.03.2023 (Online)
Published by: UCC 2022 Proceedings of the IEEE/ACM 15th International Conference on Utility and Cloud Computing
UCC 2022 Proceedings of the IEEE/ACM 15th International Conference on Utility and Cloud Computing
to publication
 ( IEEE Xplore Digital Library; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 321 - 326

Versionen

Keine Version vorhanden
Publication date: 12.2022
ISBN:
  • 978-1-6654-6087-3
ISSN: -
Homepage: https://ieeexplore.ieee.org/document/10061759
Publication date: 14.03.2023
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/ucc56403.2022.00057
Homepage: https://ieeexplore.ieee.org/document/10061759
Open access
  • Available online (not open access)
Wibi-relevant version (Admin)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Verteilte Systeme

Cooperations

No partner organisations selected

Articles of the publication

No related publications