ARGUS: A Context-Aware Software Architecture for Smart Environments
Year: 2026
Type: conference-paper
Abstract: The paradigm of Smart Environments (SE) has transitioned from simple remote automation to proactive, context-aware ecosystems driven by Artificial Intelligence. However, orchestrating heterogeneous AI subsystems, which range from high-frequency sensor streams to computationally intensive Large Language Models (LLMs), imposes significant challenges regarding latency, interoperability, and data privacy. To address these issues, we present ARGUS, a distributed, event-driven software architecture designed to orchestrate intelligent decision-making across the Edge-Cloud continuum. We validate the architecture through a reference implementation and performance evaluation, demonstrating that ARGUS effectively accommodates heavy computational workloads, such as those used in generative AI and recommendation systems, to create intelligent environments that dynamically adapt to user needs.
Authors: Felipe Paixão, Jander, Enio Garcia De Santana, Erlon Pereira Almeida, Isys Sant’Anna, Joel Pires, Eduardo Ferreira Da Silva, Mayki Dos Santos Oliveira, Jorge Luis Da Silva Batista Filho, Adriano H. De O. Maia, Dhyego Tavares, Elis Vasconcelos, Fêlipe Rosário De Araújo, Frederico Araújo Durão, Cássio Vinicius Serafim Prazeres, Gustavo Bittencourt Figueiredo, Ivan Do Carmo Machado, Maycon Leone Maciel Peixoto, Ricardo Araújo Rios, Tatiane Nogueira Rios, Bruno Pereira Dos Santos, Rafael Augusto De Melo, Eduardo Santana De Almeida
Institution: Universidade Federal da Bahia
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7170488987