Author

G. Rocha

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Open access Aug 2026

From Source Code to Cost: A Multilingual, Cost‐Aware Runtime Prediction Framework for Multi‐Cloud FaaS

Predicting the runtime and cost of Function‐as‐a‐Service (FaaS) applications remains challenging in multi‐cloud environments due to variations in code complexity, workload characteristics, and provider‐specific behaviors. This paper presents an extended version of the Orama Framework that advances runtime prediction to...

L. D. de Carvalho, G. Rocha, Aleteia Araujo · Concurrency and Computation · 0 citations

Open access Aug 2026

Predicting harvest productivity from field operations data: a random forest approach for the brazilian cerrado

Accurate pre-harvest yield prediction enables smarter logistics, targeted agronomic interventions, and evidence-based farm management. Most machine learning (ML) yield models rely on census-level statistics or satellite remote sensing; per-field, per-operation management records remain largely not analyzed as a predict...

G. Chehab, Rogerio Pessanha Lobato, Ricardo Staciarini Puttini et al. · REVISTA DELOS · 0 citations

Conference Jul 2026

Towards a Reference Architecture for Intelligent Anomaly Detection in Software-Defined Networks

Emerging technologies such as Cloud Computing, 5G, the Internet of Things (IoT), and Edge Computing demand the management of large-scale and highly dynamic network infrastructures. Traditional network configuration does not scale efficiently, whereas Software-Defined Networking (SDN) enables centralized control and sim...

Rivaldo Fernandes, B. Dalmazo, A. Riker et al. · International Conference on... · 0 citations