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 (ICPP, 2003)

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 (CCGRID, 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 (e-Science, 2005)

Scheduling Moldable BSP Tasks. - Pierre-François Dutot; Marco Aurélio Stelmar Netto; Alfredo Goldman; Fabio Kon (JSSPP, 2005)

Message passing over windows-based desktop grids. - Carlos Queiroz; Marco A. S. Netto; Rajkumar Buyya (MGC@Middleware, 2006)

Impact of Adaptive Resource Allocation Requests in Utility Cluster Computing Environments. - Marco Aurélio Stelmar Netto; Rajkumar Buyya (CCGRID, 2007)

SLA-Based Advance Reservations with Flexible and Adaptive Time QoS Parameters. - Marco Aurélio Stelmar Netto; Kris Bubendorfer; Rajkumar Buyya (ICSOC, 2007)

Rescheduling co-allocation requests based on flexible advance reservations and processor remapping. - Marco Aurélio Stelmar Netto; Rajkumar Buyya (GRID, 2008)

Offer-based scheduling of deadline-constrained Bag-of-Tasks applications for utility computing systems. - Marco Aurélio Stelmar Netto; Rajkumar Buyya (IPDPS, 2009)

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 001 (SBAC-PAD (Workshops), 2010)

CANPRO: A Conflict-Aware Protocol for Negotiation of Cloud Resources and Services. - Marco Aurélio Stelmar Netto (ICSOC, 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 (IPDPS Workshops, 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)

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)

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 (COMPSAC, 2012)

A Cost Analysis of Cloud Computing for Education. - Fernando Luiz Koch; Marcos Dias de Assunção; Marco Aurélio Stelmar Netto (GECON, 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 (NOMS, 2012)

Context-Aware Job Scheduling for Cloud Computing Environments. - Marcos Dias de Assunção; Marco Aurélio Stelmar Netto; Fernando Luiz Koch; Silvia Bianchi (UCC, 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 (WSC, 2012)

Coordinated rescheduling of Bag-of-Tasks for executions on multiple resource providers. - Marco Aurélio Stelmar Netto; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 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)

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 001 (J. Parallel Distributed Comput., 2012)

Scheduling Workflows in Multi-cluster Environments. - Silvio Luiz Stanzani; Liria Matsumoto Sato; Marco Aurélio Stelmar Netto (AINA Workshops, 2013)

Leveraging attention scarcity to improve the overall user experience of Cloud services. - Marco Aurélio Stelmar Netto; Marcos D. Assuncao; Silvia Bianchi (CNSM, 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 (ICSOC, 2013)

Software bundling selection for Cloud virtual machine images. - Marco Aurélio Stelmar Netto; Marcos Dias de Assunção (IM, 2013)

When cloud virtual machine images need to be updated. - Marco Aurélio Stelmar Netto; Marcos Dias de Assunção (IM, 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)

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)

Exploiting User Patience for Scaling Resource Capacity in Cloud Services. - Renato Luiz de Freitas Cunha; Marcos D. Assuncao; Carlos Cardonha; Marco Aurélio Stelmar Netto (IEEE CLOUD, 2014)

Improving Virtual Machine live migration via application-level workload analysis. - Artur Baruchi; Edson Toshimi Midorikawa; Marco Aurélio Stelmar Netto (CNSM, 2014)

Evaluating Auto-scaling Strategies for Cloud Computing Environments. - Marco Aurélio Stelmar Netto; Carlos Cardonha; Renato Luiz de Freitas Cunha; Marcos D. Assuncao (MASCOTS, 2014)

Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slots. - Leonardo P. Tizzei; Marco A. S. Netto; Shu Tao (GECON, 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 (ICSOC, 2015)

Using Application Data for SLA-Aware Auto-scaling in Cloud Environments. - Andre Abrantes D. P. Souza; Marco A. S. Netto (MASCOTS, 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)

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)

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)

Helping HPC Users Specify Job Memory Requirements via Machine Learning. - Eduardo R. Rodrigues; Renato Luiz de Freitas Cunha; Marco A. S. Netto; Michael Spriggs (HUST@SC, 2016)

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. - Bruno Silva; Marco Aurélio Stelmar Netto; Renato Luiz de Freitas Cunha (WORKS@SC, 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)

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)

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)

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)

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. - Renato Luiz de Freitas Cunha; Bruno Silva; Marco A. S. Netto (eScience, 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 (eScience, 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)

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)

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)

Efficient Runtime Capture of Multiworkflow Data Using Provenance. - Renan Souza 001; Marta Mattoso; Leonardo Azevedo 001; Raphael Thiago; Elton F. de Souza Soares; Marcelo Nery dos Santos; Marco A. S. Netto; Emilio Vital Brazil; Renato Cerqueira; Patrick Valduriez (eScience, 2019)

Invited Talk 3. - Marco Aurélio Stelmar Netto (IPDPS Workshops, 2019)

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. - Renan Souza 001; Patrick Valduriez; Marta Mattoso; Renato Cerqueira; Marco Aurélio Stelmar Netto; Leonardo Azevedo 001; Vítor Lourenço; Elton F. de Souza Soares; Raphael Thiago; Rafael Brandão 001; Daniel Civitarese; Emilio Vital Brazil; et al. (WORKS@SC, 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; et al. (ACM Comput. Surv., 2019)

New generation cloud computing. - Blesson Varghese; Marco A. S. Netto; Ignacio Martín Llorente; Rajkumar Buyya (Softw. Pract. Exp., 2020)

Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. - Renato Luiz de Freitas Cunha; Lucas Correia Villa Real; Renan Souza 001; Bruno Silva; Marco A. S. Netto (e-Science, 2021)

Workflow provenance in the lifecycle of scientific machine learning. - Renan Souza 001; Leonardo Guerreiro Azevedo; Vítor Lourenço; Elton F. S. Soares; Raphael Thiago; Rafael Brandão 001; Daniel Civitarese; Emilio Vital Brazil; Márcio Ferreira Moreno; Patrick Valduriez; Marta Mattoso; Renato Cerqueira; et al. (Concurr. Comput. Pract. Exp., 2022)

HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud. - Marco A. S. Netto (SC Workshops, 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)