works on

From the 2 of 52 linked papers with an AI index.

activity
20242026
most citedResilient by Design -- Active Inference for Distributed Continuum Intelligence

1 citations · 2 across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing

Amin Beheshti, Rong N. Chang, Boualem Benatallah +7

The paper proposes Agentic Service-Oriented Computing (ASOC), a framework for engineering large‑language‑model‑powered autonomous agents as services and managing their composition,…

cs.AI20261 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.AI2026

Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum

Lauri Lovén, Alaa Saleh, Reza Farahani +4

Real-time AI services increasingly operate across the device-edge-cloud continuum, where autonomous AI agents generate latency-sensitive workloads, orchestrate multi-stage processi…

cs.AI2026

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods

Boris Sedlak, Alireza Furutanpey, Zihang Wang +2

Edge computing breaks with traditional autoscaling due to strict resource constraints, thus, motivating more flexible scaling behaviors using multiple elasticity dimensions. This w…

cs.AI2026

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.AI2025

OmniFuser: Adaptive Multimodal Fusion for Service-Oriented Predictive Maintenance

Ziqi Wang, Hailiang Zhao, Yuhao Yang +7

Accurate and timely prediction of tool conditions is critical for intelligent manufacturing systems, where unplanned tool failures can lead to quality degradation and production do…