Master data

Title: MESDD: A Distributed Geofence-Based Discovery Method for the Computing Continuum
Subtitle:
Abstract:

Service discovery is a vital process that enables low latency provisioning of Internet of Things (IoT) applications across the computing continuum. Unfortunately, it becomes increasingly difficult to identify a proper service within strict time constraints due to the high heterogeneity of the computing continuum. Moreover, the plethora of network technologies and protocols commonly used by IoT applications further hinders service discovery. To address these issues, we introduce a novel Mobile Edge Service Discovery using the DNS (MESDD) algorithm, which uses a so-called Intermediate Discovery Code to identify suitable service instances. MESDD uses geofences for fine-grained service segmentation based on a naming scheme that identifies users’ locations across the computing continuum. We deployed a real-life distributed computing continuum testbed and compared MESDD with three related methods, outperformed by 60 % after eight update iterations.

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 28.08.2023 (Print)
Published by: Euro-Par 2023: Parallel Processing: Proceedings of the 29th International Conference on Parallel and Distributed Computing
Euro-Par 2023: Parallel Processing: Proceedings of the 29th International Conference on Parallel and Distributed Computing
to publication
 ( ACM Digital Library; )
Title of the series: -
Volume number: -
First publication: No
Edition: -
Version: -
Page: pp. 125 - 138

Versionen

Keine Version vorhanden
Publication date: 24.08.2023
ISBN (e-book):
  • 9783031396984
eISSN: 1611-3349
DOI: http://dx.doi.org/10.1007/978-3-031-39698-4_9
Homepage: https://dl.acm.org/doi/abs/10.1007/978-3-031-39698-4_9
Open access
  • Available online (not open access)
Publication date: 28.08.2023
ISBN:
  • 9783031396977
ISSN: 0302-9743
Homepage: https://dl.acm.org/doi/abs/10.1007/978-3-031-39698-4_9

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: I)
Classification raster of the assigned organisational units:
working groups
  • Verteilte Systeme

Cooperations

Organisation Address
Fachhochschule Kärnten - gemeinnützige Gesellschaft mbH (ab 2022)
Europastraße 4
9524 Villach
Austria - Carinthia
Europastraße 4
AT - 9524  Villach

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