Master data

Title: Some aspects of the workflow scheduling in the computing continuum systems
Subtitle:
Abstract:

Contemporary computing systems are commonly characterized in terms of data-intensive workflows, that are managed by utilizing large number of heterogeneous computing and storage elements interconnected through complex communication topologies. As the scale of the system grows and workloads become more heterogeneous in both inner structure and the arrival patterns, scheduling problem becomes exponentially harder, requiring problem-specifc heuristics. Despite several decades of the active research on it, one issue that still requires effort is to enable efficient workflows scheduling in such complex environments, while preserving robustness of the results. Moreover, recent research trend coined under term "computing continuum" prescribes convergence of the multi-scale computational systems with complex spatio-temporal dynamics and diverse sets of the management policies. This paper contributes with the set of recommendations and brief analysis for the existing scheduling algorithms.

Keywords: scheduling, algorithms, brief review, workflows
Publication type: Article in Proceedings (Authorship)
Publication date: 13.12.2021 (Online)
Published by: GRID' 2021 Proceedings of the 9th International Conference Distributed Computing and Grid Technologies in Science and Education
GRID' 2021 Proceedings of the 9th International Conference Distributed Computing and Grid Technologies in Science and Education
to publication
 ( CEUR Workshop Proceedings (CEUR-WS.org); )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 106 - 110

Versionen

Keine Version vorhanden
Publication date: 13.12.2021
ISBN (e-book): -
eISSN: 1613-0073
DOI: -
Homepage: http://ceur-ws.org/Vol-3041/
Open access
  • Available online (open access)

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: III)
Classification raster of the assigned organisational units:
working groups
  • Distributed Multimedia Systems

Cooperations

Organisation Address
Silicon Austria Labs GmbH
Inffeld­gasse 25F
8010 Graz
Austria - Styria
Inffeld­gasse 25F
AT - 8010  Graz

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