activity
20152026
most citedA Case Study for Grain Quality Assurance Tracking based on a Blockchain Business Network

84 citations · 155 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2026

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence

Aladin Djuhera, Farhan Ahmed, Vlad C. Andrei +4

AI-native 6G visions increasingly invoke wireless foundation models, large multimodal models, and wireless world models as the natural endpoint of AI-native networking, drawing an…

cs.DC2025

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI

Aladin Djuhera, Fernando Koch, Alecio Binotto

Inference over large-scale foundation models within heterogeneous edge environments necessitates a fundamentally reconfigurable orchestration substrate. Static partitioning of mode…

cs.DC2025★ 4 cited

Intelligent Orchestration of Distributed Large Foundation Model Inference at the Edge

Fernando Koch, Aladin Djuhera, Alecio Binotto

Large Foundation Models (LFMs), including multi-modal and generative models, promise to unlock new capabilities for next-generation Edge AI applications. However, performing infere…

cs.CY2018★ 84 cited

A Case Study for Grain Quality Assurance Tracking based on a Blockchain Business Network

Percival Lucena, Alecio P. D. Binotto, Fernanda da Silva Momo +1

One of the key processes in Agriculture is quality measurement throughout the transportation of grains along its complex supply chain. This procedure is suitable for failures, such…

cs.DC2018★ 61 cited

Using Meta-heuristics and Machine Learning for Software Optimization of Parallel Computing Systems: A Systematic Literature Review

Suejb Memeti, Sabri Pllana, Alecio Binotto +2

While modern parallel computing systems offer high performance, utilizing these powerful computing resources to the highest possible extent demands advanced knowledge of various ha…

cs.DC2015

An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds

Kiran Mantripragada, Leonardo P. Tizzei, Alecio P. D. Binotto +1

Several scientific and industry applications require High Performance Computing (HPC) resources to process and/or simulate complex models. Not long ago, companies, research institu…

cs.DC2015★ 6 cited

A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds

Kiran Mantripragada, Alecio Binotto, Leonardo P. Tizzei

High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when co…