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Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview
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2021 (English)In: Proceedings - IEEE Symposium on Computers and Communications, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Organisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value creation potential. In this respect, the concept of Computing Continuum extends the traditional more centralised Cloud Computing paradigm with Fog and Edge Computing in order to ensure low latency pre-processing and filtering close to the data sources. However, there are still major challenges to be addressed, in particular related to management of various phases of Big Data processing on the Computing Continuum. In this paper, we set forth an ecosystem for Big Data pipelines in the Computing Continuum and introduce five relevant real-life example use cases in the context of the proposed ecosystem.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Series
Proceedings - IEEE Symposium on Computers and Communications, ISSN 1530-1346
Keywords [en]
Big Data, Cloud-Fog-Edge Computing, Computing Continuum, Dark Data, Data Pipelines, Data handling, Ecosystems, Fog computing, Pipelines, Data mean, Edge computing, Internet of things technologies, Static datum, Stream data, Value creation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-316404DOI: 10.1109/ISCC53001.2021.9631410ISI: 000936276000041Scopus ID: 2-s2.0-85123179008OAI: oai:DiVA.org:kth-316404DiVA, id: diva2:1687802
Conference
26th IEEE Symposium on Computers and Communications, ISCC 2021, Athens, Greece, 5-8 September 2021
Note

Part of proceedings: ISBN 978-1-6654-2744-9

QC 20220816

Available from: 2022-08-16 Created: 2022-08-16 Last updated: 2023-09-21Bibliographically approved

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Matskin, Mihhail

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf