EbitSim: An Enhanced BitTorrent Simulation Using OMNeT++ 4. - Pedro Evangelista; Marcelo Amaral; Charles Miers; Walter Goya; Marcos A. Simplício Jr.; Tereza Cristina M. B. Carvalho; Victor Souza (MASCOTS, 2011)

Towards Sustainable Networks - Energy Efficiency Policy from Business to Device Instance Levels. - Tereza Cristina M. B. Carvalho; Ana C. Riekstin; Marcelo Amaral; Carlos H. A. Costa; Guilherme C. Januario; Cristina K. Dominicini; Catalin Meirosu (ICEIS (3), 2012)

REASoN - Reliability and/or availability evaluation for sustainable networking. - Marcelo Amaral; Carlos H. A. Costa; Tereza Cristina M. B. Carvalho; Catalin Meirosu (ICUMT, 2012)

Performance Evaluation of Microservices Architectures Using Containers. - Marcelo Amaral; Jorda Polo; David Carrera 001; Iqbal Mohomed; Merve Unuvar; Malgorzata Steinder (NCA, 2015)

Topology-aware GPU scheduling for learning workloads in cloud environments. - Marcelo Amaral; Jordà Polo; David Carrera 001; Seetharami R. Seelam; Malgorzata Steinder (SC, 2017)

Performance Characterization of Spark Workloads on Shared NUMA Systems. - Shuja-ur-Rehman Baig; Marcelo Amaral; Jorda Polo; David Carrera 001 (BigDataService, 2018)

Improving resource efficiency in virtualized datacenters. - Marcelo Amaral (2019)

Run Wild: Resource Management System with Generalized Modeling for Microservices on Cloud. - Sunyanan Choochotkaew; Tatsuhiro Chiba; Scott Trent; Marcelo Amaral (CLOUD, 2021)

DRMaestro: orchestrating disaggregated resources on virtualized data-centers. - Marcelo Amaral; Jordà Polo; David Carrera 001; Nelson M. Gonzalez; Chih-Chieh Yang; Alessandro Morari; Bruce D'Amora; Alaa Youssef; Malgorzata Steinder (J. Cloud Comput., 2021)

MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF. - Marcelo Amaral; Tatsuhiro Chiba; Scott Trent; Takeshi Yoshimura; Sunyanan Choochotkaew (CLOUD, 2022)

Bypass Container Overlay Networks with Transparent BPF-driven Socket Replacement. - Sunyanan Choochotkaew; Tatsuhiro Chiba; Scott Trent; Marcelo Amaral (CLOUD, 2022)

AutoDECK: Automated Declarative Performance Evaluation and Tuning Framework on Kubernetes. - Sunyanan Choochotkaew; Tatsuhiro Chiba; Scott Trent; Takeshi Yoshimura; Marcelo Amaral (CLOUD, 2022)

Detecting Layered Bottlenecks in Microservices. - Tatsushi Inagaki; Yohei Ueda; Moriyoshi Ohara; Sunyanan Choochotkaew; Marcelo Amaral; Scott Trent; Tatsuhiro Chiba; Qi Zhang 009 (CLOUD, 2022)

Kepler: A Framework to Calculate the Energy Consumption of Containerized Applications. - Marcelo Amaral; Huamin Chen; Tatsuhiro Chiba; Rina Nakazawa; Sunyanan Choochotkaew; Eun Kyung Lee; Tamar Eilam (CLOUD, 2023)

Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training. - Sunyanan Choochotkaew; Chen Wang 039; Huamin Chen; Tatsuhiro Chiba; Marcelo Amaral; Eun Kyung Lee; Tamar Eilam (MASCOTS, 2023)

Process-Based Efficient Power Level Exporter. - Marcelo Amaral; Huamin Chen; Tatsuhiro Chiba; Rina Nakazawa; Sunyanan Choochotkaew; Eun Kyung Lee; Tamar Eilam (CLOUD, 2024)

Best-Effort Power Model Serving for Energy Quantification of Cloud Instances. - Sunyanan Choochotkaew; Tatsuhiro Chiba; Marcelo Amaral; Rina Nakazawa; Scott Trent; Eun Kyung Lee; Umamaheswari Devi; Tamar Eilam; Huamin Chen (MASCOTS, 2024)

A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter. - Sunyanan Choochotkaew; Chen Wang 039; Huamin Chen; Tatsuhiro Chiba; Marcelo Amaral; Eun Kyung Lee; Tamar Eilam (CoRR, 2024)

Toward Effective AI Governance: A Review of Principles. - Danilo Monteiro Ribeiro; Thayssa A. da Rocha; Gustavo Pinto 001; Bruno Cartaxo; Marcelo Amaral; Nicole Davila; Ana Camargo (CoRR, 2025)