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ORCIDMarcelo Amaral
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2020 – today
- 2024
[c14]Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee, Tamar Eilam:
Process-Based Efficient Power Level Exporter. CLOUD 2024: 456-467- [i2]Sunyanan Choochotkaew, Chen Wang, Huamin Chen, Tatsuhiro Chiba, Marcelo Amaral, Eun Kyung Lee, Tamar Eilam:
A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter. CoRR abs/2407.00878 (2024) - 2023
- [c13]Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee, Tamar Eilam:
Kepler: A Framework to Calculate the Energy Consumption of Containerized Applications. CLOUD 2023: 69-71 - [c12]Sunyanan Choochotkaew, Chen Wang, Huamin Chen, Tatsuhiro Chiba, Marcelo Amaral, Eun Kyung Lee, Tamar Eilam:
Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training. MASCOTS 2023: 1-4 - 2022
- [c11]Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Marcelo Amaral:
Bypass Container Overlay Networks with Transparent BPF-driven Socket Replacement. CLOUD 2022: 134-143 - [c10]Marcelo Amaral, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, Sunyanan Choochotkaew:
MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF. CLOUD 2022: 230-240 - [c9]Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, Marcelo Amaral:
AutoDECK: Automated Declarative Performance Evaluation and Tuning Framework on Kubernetes. CLOUD 2022: 309-314 - [c8]Tatsushi Inagaki, Yohei Ueda, Moriyoshi Ohara, Sunyanan Choochotkaew, Marcelo Amaral, Scott Trent, Tatsuhiro Chiba, Qi Zhang:
Detecting Layered Bottlenecks in Microservices. CLOUD 2022: 385-396 - 2021
- [j1]Marcelo Amaral
, Jordà Polo, David Carrera, Nelson M. Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D'Amora, Alaa Youssef, Malgorzata Steinder:
DRMaestro: orchestrating disaggregated resources on virtualized data-centers. J. Cloud Comput. 10(1): 22 (2021) - [c7]Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Marcelo Amaral:
Run Wild: Resource Management System with Generalized Modeling for Microservices on Cloud. CLOUD 2021: 609-618
2010 – 2019
- 2019
- [b1]Marcelo Amaral:
Improving resource efficiency in virtualized datacenters. Polytechnic University of Catalonia, Spain, 2019 - 2018
- [c6]Shuja-ur-Rehman Baig, Marcelo Amaral, Jorda Polo, David Carrera:
Performance Characterization of Spark Workloads on Shared NUMA Systems. BigDataService 2018: 41-48 - 2017
- [c5]Marcelo Amaral, Jordà Polo, David Carrera, Seetharami R. Seelam, Malgorzata Steinder:
Topology-aware GPU scheduling for learning workloads in cloud environments. SC 2017: 17 - 2015
- [c4]Marcelo Amaral, Jorda Polo, David Carrera, Iqbal Mohomed, Merve Unuvar, Malgorzata Steinder:
Performance Evaluation of Microservices Architectures Using Containers. NCA 2015: 27-34 - [i1]Marcelo Amaral, Jorda Polo, David Carrera, Iqbal Mohomed, Merve Unuvar, Malgorzata Steinder:
Performance Evaluation of Microservices Architectures using Containers. CoRR abs/1511.02043 (2015) - 2012
- [c3]Tereza Cristina M. B. Carvalho, Ana C. Riekstin, Marcelo Amaral, Carlos H. A. Costa, Guilherme C. Januario, Cristina K. Dominicini, Catalin Meirosu:
Towards Sustainable Networks - Energy Efficiency Policy from Business to Device Instance Levels. ICEIS (3) 2012: 238-243 - [c2]Marcelo Amaral, Carlos H. A. Costa, Tereza Cristina M. B. Carvalho, Catalin Meirosu:
REASoN - Reliability and/or availability evaluation for sustainable networking. ICUMT 2012: 759-765 - 2011
- [c1]Pedro Evangelista, Marcelo Amaral, Charles Miers, Walter Goya, Marcos A. Simplício Jr., Tereza Cristina M. B. Carvalho, Victor Souza:
EbitSim: An Enhanced BitTorrent Simulation Using OMNeT++ 4. MASCOTS 2011: 437-440
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