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Human-based Distributed Intelligence in Computing Continuum Systems
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-8233-6071
TU Wien, Vienna, Austria.
TU Wien, Vienna, Austria.
Universitat Pompeu Fabra, Barcelona, Spain.
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Number of Authors: 52025 (English)In: IEEE Internet Computing, ISSN 1089-7801, E-ISSN 1941-0131, Vol. 29, no 2, p. 61-68Article in journal (Refereed) Published
Abstract [en]

Distributed Computing Continuum Systems (DCCS) are integrated systems that combine cloud, edge, and IoT devices to deliver scalable and low-latency computing resources across diverse applications and environments. Composed of a heterogeneous mix of computational units, storage systems, and communication networks, DCCS facilitates real-time data processing and analysis by distributing tasks dynamically based on resource availability and demand. The complex structure of DCCS reflects the intricate organization of the human body, where different systems work together to maintain overall functionality. This paper draws parallels between the human body’s intelligence mechanisms and the operational strategies needed for DCCS. Especially exploring several human body analogies or principles that can be incorporated into DCCS to mitigate interpretable and non-interpretable challenges while enhancing overall performance.

Place, publisher, year, edition, pages
2025. Vol. 29, no 2, p. 61-68
National Category
Computer Sciences
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-245088DOI: 10.1109/MIC.2024.3460908ISI: 001526855300002Scopus ID: 2-s2.0-105010687894OAI: oai:DiVA.org:su-245088DiVA, id: diva2:1985055
Available from: 2025-07-21 Created: 2025-07-21 Last updated: 2025-07-23Bibliographically approved

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Donta, Praveen Kumar

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