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20232026
most citedTowards Message Brokers for Generative AI: Survey, Challenges, and Opportunities

4 citations · 11 across the 12 of their papers we have counts for

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cs.DC2026

A Taxonomy of Performance Metrics for the Distributed Computing Continuum

Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis +6

Performance evaluation is essential for understanding, comparing, and improving computing systems, including Distributed Computing Continuum Systems (DCCS). In recent years, comput…

cs.DC2026

Neural Router: Semantic Content Matching for Agentic AI

Lauri Lovén, Abhishek Kumar, Alexander Engelhardt +5

Large language models (LLMs) can serve as the semantic-matching engine of a content-based publish/subscribe broker for agentic AI across the edge-cloud computing continuum, bridgin…

cs.DC2026

An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum

Suvi De Silva, Alfreds Lapkovskis, Alaa Saleh +2

Grey failures in the computing continuum produce ambiguous overlapping symptoms that existing approaches fail to diagnose reliably, either due to a lack of causal awareness or acti…

cs.DC2026

NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum

Peihan Ye, Alfreds Lapkovskis, Alaa Saleh +2

The computational demands of modern AI services are increasingly shifting execution beyond centralized clouds toward a computing continuum spanning edge and end devices. However, t…

cs.DC2026

LLM-assisted Agentic Edge Intelligence Framework

Chinmaya Kumar Dehury, Siddharth Singh Kushwaha, Qiyang Zhang +2

Edge intelligence delivers low-latency inference, yet most edge analytics remain hard-coded and must be redeployed as conditions change. When data patterns shift or new questions a…

cs.DC2024★ 2 cited

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments

Alaa Saleh, Praveen Kumar Donta, Roberto Morabito +2

This article introduces Follow-Me AI, a concept designed to enhance user interactions with smart environments, optimize energy use, and provide better control over data captured by…

cs.DC2023★ 4 cited

Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities

Alaa Saleh, Roberto Morabito, Sasu Tarkoma +2

In today's digital world, Generative Artificial Intelligence (GenAI) such as Large Language Models (LLMs) is becoming increasingly prevalent, extending its reach across diverse app…