activity
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

collaborators

13 papers

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.AI2026

Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4

We are moving from an information age to the age of intelligence. A decade, or possibly less than that, data will not be the gold anymore rather the derived intelligence out of the…

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.AI2026

Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture

Lauri Lovén, Alaa Saleh, Reza Farahani +5

Autonomous AI agents are becoming economic actors. They compose deadline-bound services across the device-edge-cloud continuum and contend for capacity no single operator owns. Thi…

cs.AI2026★ 2 cited

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems

Alaa Saleh, Praveen Kumar Donta, Roberto Morabito +6

Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function through self-healing.…

cs.CY2025

Socio-technical aspects of Agentic AI

Praveen Kumar Donta, Alaa Saleh, Ying Li +15

Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autono…

cs.NI2025★ 2 cited

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks

Alaa Saleh, Roberto Morabito, Sasu Tarkoma +3

As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing an…

cs.AI2025★ 1 cited

UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces

Alaa Saleh, Sasu Tarkoma, Praveen Kumar Donta +5

Agentic Artificial Intelligence (AI) constitutes a transformative paradigm in the evolution of intelligent agents and decision-support systems, redefining smart environments by enh…

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…