Stammdaten

Titel: Multilayer Resource-aware Partitioning for Fog Application Placement
Untertitel:
Kurzfassung:

Fog computing emerged as a crucial platform for the deployment of IoT applications. The complexity of such applications require methods that handle the resource diversity and network structure of Fog devices, while maximizing the service placement and reducing the resource wastage. Prior studies in this domain primarily focused on optimizing application-specific requirements and fail to address the network topology combined with the different types of resources encountered in Fog devices. To overcome these problems, we propose a multilayer resource-aware partitioning method to minimize the resource wastage and maximize the service placement and deadline satisfaction rates in a Fog infrastructure with high multi-user application placement requests. Our method represents the heterogeneous Fog resources as a multilayered network graph and partitions them based on network topology and resource features. Afterwards, it identifies the appropriate device partitions for placing an application according to its requirements, which need to overlap in the same network topology partition. Simulation results show that our multilayer resource-aware partitioning method is able to place twice as many services, satisfy deadlines for three times as many application requests, and reduce the resource wastage by up to 15–32 times compared to two availability-aware and resource-aware state-of-the-art methods.

Schlagworte: Fog computing, application placement, resource partitioning, resource wastage, deadline satisfaction
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: ICFEC '21 Proceedings of the IEEE 5th International Conference on Fog and Edge Computing
ICFEC '21 Proceedings of the IEEE 5th International Conference on Fog and Edge Computing
zur Publikation
 ( IEEE; )
Erscheinungsdatum: 21.06.2021
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 9 - 18

Identifikatoren

ISBN:
  • 9781665402910
  • 978-1-6654-0292-7
ISSN: -
DOI: http://dx.doi.org/10.1109/icfec51620.2021.00010
AC-Nummer: -
Homepage: https://ieeexplore.ieee.org/document/9458908
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: III)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Kooperationen

Keine Partnerorganisation ausgewählt

Beiträge der Publikation

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