Marco Aurélio Stelmar Netto

According to our database, Marco Aurélio Stelmar Netto authored at least 58 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simplifying HPC resource selection: A tool for optimizing execution time and cost on Azure.

Marco A. S. Netto, Wolfgang De Savador, Davide Vanzo

CoRR, 2024

HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud.

Marco A. S. Netto

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2022

Workflow provenance in the lifecycle of scientific machine learning.

Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto

Concurr. Comput. Pract. Exp., 2022

2021

Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.

Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

New generation cloud computing.

Blesson Varghese, Marco A. S. Netto, Ignacio Martín Llorente, Rajkumar Buyya

Softw. Pract. Exp., 2020

2019

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.

Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen

ACM Comput. Surv., 2019

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering.

Renan Souza, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco Aurélio Stelmar Netto, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno

Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

Invited Talk 3.

Marco Aurélio Stelmar Netto

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Efficient Runtime Capture of Multiworkflow Data Using Provenance.

Renan Souza, Marta Mattoso, Leonardo Azevedo, Raphael Thiago, Elton F. de Souza Soares, Marcelo Nery dos Santos, Marco A. S. Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez

Proceedings of the 15th International Conference on eScience, 2019

2018

JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications.

Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha

Future Gener. Comput. Syst., 2018

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.

Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya

ACM Comput. Surv., 2018

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.

Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto

CoRR, 2018

DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast.

Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto

Proceedings of the 14th IEEE International Conference on e-Science, 2018

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.

Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Job placement advisor based on turnaround predictions for HPC hybrid clouds.

Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto

Future Gener. Comput. Syst., 2017

2016

Optimising resource costs of cloud computing for education.

Fernando Koch, Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto

Future Gener. Comput. Syst., 2016

Impact of user patience on auto-scaling resource capacity for cloud services.

Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha

Future Gener. Comput. Syst., 2016

Exploiting Workload Cycles for Orchestration of Virtual Machine Live Migrations in Clouds.

Artur Baruchi, Edson T. Midorikawa, Liria M. Sato, Marco A. S. Netto

CoRR, 2016

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments.

Bruno Silva, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha

Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Helping HPC Users Specify Job Memory Requirements via Machine Learning.

Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs

Proceedings of the 2016 Third International Workshop on HPC User Support Tools, 2016

2015

Big Data computing and clouds: Trends and future directions.

Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco A. S. Netto, Rajkumar Buyya

J. Parallel Distributed Comput., 2015

An architecture and algorithm for context-aware resource allocation for digital teaching platforms.

Fernando Luiz Koch, Marcos Dias de Assunção, Carlos Cardonha, Marco Aurélio Stelmar Netto, Tiago T. Primo

IBM J. Res. Dev., 2015

Deciding When and How to Move HPC Jobs to the Cloud.

Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum

Computer, 2015

Using Application Data for SLA-Aware Auto-scaling in Cloud Environments.

Andre Abrantes D. P. Souza, Marco A. S. Netto

Proceedings of the 23rd IEEE International Symposium on Modeling, 2015

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

Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto

Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slots.

Leonardo P. Tizzei, Marco A. S. Netto, Shu Tao

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2015

2014

Evaluating Auto-scaling Strategies for Cloud Computing Environments.

Marco Aurélio Stelmar Netto, Carlos Cardonha, Renato Luiz de Freitas Cunha, Marcos D. Assuncao

Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Improving Virtual Machine live migration via application-level workload analysis.

Artur Baruchi, Edson Toshimi Midorikawa, Marco Aurélio Stelmar Netto

Proceedings of the 10th International Conference on Network and Service Management, 2014

Exploiting User Patience for Scaling Resource Capacity in Cloud Services.

Renato Luiz de Freitas Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco Aurélio Stelmar Netto

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

EMUSIM: an integrated emulation and simulation environment for modeling, evaluation, and validation of performance of Cloud computing applications.

Rodrigo N. Calheiros, Marco Aurélio Stelmar Netto, César A. F. De Rose, Rajkumar Buyya

Softw. Pract. Exp., 2013

Big Data Computing and Clouds: Challenges, Solutions, and Future Directions.

Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco Aurélio Stelmar Netto, Rajkumar Buyya

CoRR, 2013

When cloud virtual machine images need to be updated.

Marco Aurélio Stelmar Netto, Marcos Dias de Assunção

Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

Software bundling selection for Cloud virtual machine images.

Marco Aurélio Stelmar Netto, Marcos Dias de Assunção

Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom.

Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

Leveraging attention scarcity to improve the overall user experience of Cloud services.

Marco Aurélio Stelmar Netto, Marcos D. Assuncao, Silvia Bianchi

Proceedings of the 9th International Conference on Network and Service Management, 2013

Scheduling Workflows in Multi-cluster Environments.

Silvio Luiz Stanzani, Liria Matsumoto Sato, Marco Aurélio Stelmar Netto

Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012

Performance evaluation of OpenMP-based algorithms for handling Kronecker descriptors.

Antonio M. de Lima, Marco Aurélio Stelmar Netto, Thais Webber, Ricardo M. Czekster, César A. F. De Rose, Paulo Fernandes

J. Parallel Distributed Comput., 2012

Towards autonomic detection of SLA violations in Cloud infrastructures.

Vincent C. Emeakaroha, Marco Aurélio Stelmar Netto, Rodrigo N. Calheiros, Ivona Brandic, Rajkumar Buyya, César A. F. De Rose

Future Gener. Comput. Syst., 2012

Coordinated rescheduling of Bag-of-Tasks for executions on multiple resource providers.

Marco Aurélio Stelmar Netto, Rajkumar Buyya

Concurr. Comput. Pract. Exp., 2012

Scheduling with preemption for incident management: when interrupting tasks is not such a bad idea.

Marcos Dias de Assunção, Victor F. Cavalcante, Maíra A. de C. Gatti, Marco Aurélio Stelmar Netto, Claudio S. Pinhanez, Cleidson R. B. de Souza

Proceedings of the Winter Simulation Conference, 2012

Context-Aware Job Scheduling for Cloud Computing Environments.

Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Fernando Luiz Koch, Silvia Bianchi

Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012

CloudAffinity: A framework for matching servers to cloudmates.

Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Brian Peterson, Lakshminarayanan Renganarayana, John J. Rofrano, Chris Ward, Chris Young

Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

A Cost Analysis of Cloud Computing for Education.

Fernando Luiz Koch, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2012

CASViD: Application Level Monitoring for SLA Violation Detection in Clouds.

Vincent C. Emeakaroha, Tiago C. Ferreto, Marco Aurélio Stelmar Netto, Ivona Brandic, César A. F. De Rose

Proceedings of the 36th Annual IEEE Computer Software and Applications Conference, 2012

2011

Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications.

Marco Aurélio Stelmar Netto, Christian Vecchiola, Michael Kirley, Carlos A. Varela, Rajkumar Buyya

J. Parallel Distributed Comput., 2011

Server consolidation with migration control for virtualized data centers.

Tiago C. Ferreto, Marco Aurélio Stelmar Netto, Rodrigo N. Calheiros, César A. F. De Rose

Future Gener. Comput. Syst., 2011

Evaluating Load Generation in Virtualized Environments for Software Performance Testing.

Marco Aurélio Stelmar Netto, Suzane Menon, Hugo V. Vieira, Leandro T. Costa, Flávio Moreira de Oliveira, Rodrigo S. Saad, Avelino F. Zorzo

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

CANPRO: A Conflict-Aware Protocol for Negotiation of Cloud Resources and Services.

Marco Aurélio Stelmar Netto

Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

2010

OpenMP-based Parallel Algorithms for Solving Kronecker Descriptors.

Antonio M. de Lima, Thais Webber, Marco A. S. Netto, Ricardo M. Czekster, César A. F. De Rose, Paulo Fernandes

Proceedings of the 22nd International Symposium on Computer Architecture and High Performance Computing Workshops, 2010

2009

Offer-based scheduling of deadline-constrained Bag-of-Tasks applications for utility computing systems.

Marco Aurélio Stelmar Netto, Rajkumar Buyya

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2008

Rescheduling co-allocation requests based on flexible advance reservations and processor remapping.

Marco Aurélio Stelmar Netto, Rajkumar Buyya

Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

2007

SLA-Based Advance Reservations with Flexible and Adaptive Time QoS Parameters.

Marco Aurélio Stelmar Netto, Kris Bubendorfer, Rajkumar Buyya

Proceedings of the Service-Oriented Computing, 2007

Impact of Adaptive Resource Allocation Requests in Utility Cluster Computing Environments.

Marco Aurélio Stelmar Netto, Rajkumar Buyya

Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

2006

Message passing over windows-based desktop grids.

Carlos Queiroz, Marco A. S. Netto, Rajkumar Buyya

Proceedings of the 4th international workshop on Middleware for grid computing, 2006

2005

Scheduling Moldable BSP Tasks.

Pierre-François Dutot, Marco Aurélio Stelmar Netto, Alfredo Goldman, Fabio Kon

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2005

Transparent Resource Allocation to Exploit Idle Cluster Nodes in Computational Grids.

Marco Aurélio Stelmar Netto, Rodrigo N. Calheiros, Rafael K. S. Silva, César A. F. De Rose, Caio Northfleet, Walfredo Cirne

Proceedings of the First International Conference on e-Science and Grid Technologies (e-Science 2005), 2005

Scheduling complex computer simulations on heterogeneous non-dedicated machines: a case study in structural bioinformatics.

Marco Aurélio Stelmar Netto, Ardala Breda, Osmar Norberto de Souza

Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

2003

CRONO: A Configurable and Easy to Maintain Resource Manager Optimized for Small and Mid-Size GNU/Linux Cluster.

Marco Aurélio Stelmar Netto, César A. F. De Rose

Proceedings of the 32nd International Conference on Parallel Processing (ICPP 2003), 2003