<div class="csl-bib-body">
<div class="csl-entry">Donta, P. K., Sedlak, B., Murturi, I., Casamayor Pujol, V., & Dustdar, S. (2025). Human-Based Distributed Intelligence in Computing Continuum Systems. <i>IEEE Internet Computing</i>, <i>29</i>(2), 61–68. https://doi.org/10.1109/MIC.2024.3460908</div>
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dc.identifier.issn
1089-7801
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/217604
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dc.description.abstract
Distributed computing continuum systems (DCCSs) are integrated systems that combine cloud, edge, and Internet of Things 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, DCCSs facilitate real-time data processing and analysis by distributing tasks dynamically based on resource availability and demand. The complex structure of DCCSs reflect the intricate organization of the human body, where different systems work together to maintain overall functionality. This article draws parallels between the human body’s intelligence mechanisms and the operational strategies needed for DCCSs. We especially explore several human body analogies or principles that can be incorporated into DCCSs to mitigate interpretable and noninterpretable challenges while enhancing overall performance.
en
dc.description.sponsorship
European Commission
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dc.language.iso
en
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dc.publisher
IEEE COMPUTER SOC
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dc.relation.ispartof
IEEE Internet Computing
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dc.subject
Computing Continuum
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dc.subject
Distributed Intelligence
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dc.subject
Data Processing
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dc.title
Human-Based Distributed Intelligence in Computing Continuum Systems