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Human-Based Distributed Intelligence in Computing Continuum Systems
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DOI：10.1109/MIC.2024.3460908.png)
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Abstract
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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.
Keywords:
Feedback loop
Cloud computing
Decision making
Organizations
Data processing
Real-time systems
Internet of Things
Communication networks
Low latency communication
Distributed computing
Edge computing
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4.4
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JOURNAL OF BIG DATA
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JOURNAL OF BIG DATAIF6.4
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