mlsanityData to 7 Oct 2026

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

arXiv 2205.01423 ↗First posted 3 May 2022cs.MA cs.AI cs.LGcited by 12

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Abstract (arXiv)

Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration in the device-edge-cloud continuum, and focus on edge AI for resource orchestration. We claim that to support the constantly growing requirements of intelligent applications in the device-edge-cloud computing continuum, resource orchestration needs to embrace edge AI and emphasize local autonomy and intelligence. To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum. We describe certain major emerging research themes that may affect future orchestration, and provide an early vision of an orchestration paradigm that embraces those research themes. Finally, we survey current key edge AI methods and look at how they may contribute into fulfilling the vision of future continuum orchestration.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 106 of its 297 references that are in the map. First posted on arXiv 3 May 2022.

Builds on

106 of 297 references.

References · 106

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38 more
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50 most cited of 106 All 106 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 4; 2025: 3; 2026: 2.

12 papers.

  1. 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Surveycited by 13
  2. 2024A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directionscited by 10
  3. 2023Equilibrium in the Computing Continuum through Active Inferencecited by 9
  4. 2025Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Thingscited by 8
  5. 2025Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systemscited by 6
  6. 2023Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunitiescited by 5
  7. 2024Follow-Me AI: Energy-Efficient User Interaction with Smart Environmentscited by 4
  8. 2024Creation of AI-driven Smart Spaces for Enhanced Indoor Environments -- A Surveycited by 2
  9. 2024Energy-Aware Dynamic Neural Inferencecited by 1
  10. 2026Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuumcited by 1
  11. 2026Neural Router: Semantic Content Matching for Agentic AIcited by 1
  12. 2023Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directionscited by 0