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New ontology standardizes distributed AI workflows across edge, fog, and cloud

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new SAREF-compliant ontology designed to standardize the representation of distributed AI workflows across edge, fog, and cloud environments. This ontology extends the SAREF4SYST framework to include concepts for AI pipelines, jobs, computational resources, and deployment constraints, aiming to improve interoperability and orchestration. The proposed model has been evaluated through proof-of-concept smart grid energy service orchestration scenarios, demonstrating high deployment success rates and rapid orchestration decision times. AI

IMPACT Standardizes AI workflow representation, potentially improving interoperability and orchestration in distributed computing environments.

RANK_REASON The cluster contains an academic paper proposing a new ontology for AI workflows. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ontology standardizes distributed AI workflows across edge, fog, and cloud

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24 / 100
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The cluster contains an academic paper proposing a new ontology for AI workflows. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Viorica Rozina Chifu, Tudor Cioara, Vasile Ofrim, Liana Toderean, Ionut Anghel, Laura Daniele, Cornelis Bouter ·

    SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum

    arXiv:2608.26160v1 Announce Type: new Abstract: Nowadays semantic models provide limited support for representing distributed AI workflows and their execution across heterogeneous edge, fog, and cloud environments. Therefore, AI processes and resources are often described using i…

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