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Marco Aurélio Stelmar Netto
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- affiliation: Thomas J. Watson Research Center, Yorktown Heights, USA
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2020 – today
- 2022
- [j17]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:
Workflow provenance in the lifecycle of scientific machine learning. Concurr. Comput. Pract. Exp. 34(14) (2022) - 2021
- [c36]Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto:
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. e-Science 2021: 30-39 - [i16]Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto:
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. CoRR abs/2107.00187 (2021) - 2020
- [j16]Blesson Varghese, Marco A. S. Netto, Ignacio Martín Llorente, Rajkumar Buyya:
New generation cloud computing. Softw. Pract. Exp. 50(6): 803-804 (2020) - [i15]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:
Workflow Provenance in the Lifecycle of Scientific Machine Learning. CoRR abs/2010.00330 (2020)
2010 – 2019
- 2019
- [j15]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:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. 51(5): 105:1-105:38 (2019) - [c35]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:
Efficient Runtime Capture of Multiworkflow Data Using Provenance. eScience 2019: 359-368 - [c34]Marco Aurélio Stelmar Netto:
Invited Talk 3. IPDPS Workshops 2019: 959 - [c33]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:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. WORKS@SC 2019: 1-10 - [i14]Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. CoRR abs/1910.04223 (2019) - 2018
- [j14]Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya:
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. ACM Comput. Surv. 51(1): 8:1-8:29 (2018) - [j13]Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications. Future Gener. Comput. Syst. 83: 144-157 (2018) - [c32]Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto:
DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast. eScience 2018: 415-422 - [c31]Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto:
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. eScience 2018: 423-430 - [i13]Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications. CoRR abs/1802.01030 (2018) - [i12]Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto:
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. CoRR abs/1806.09244 (2018) - [i11]Eduardo R. Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto:
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast. CoRR abs/1808.05264 (2018) - 2017
- [j12]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto:
Job placement advisor based on turnaround predictions for HPC hybrid clouds. Future Gener. Comput. Syst. 67: 35-46 (2017) - [i10]Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya:
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. CoRR abs/1710.08731 (2017) - [i9]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:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR abs/1711.09123 (2017) - 2016
- [j11]Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
Impact of user patience on auto-scaling resource capacity for cloud services. Future Gener. Comput. Syst. 55: 41-50 (2016) - [j10]Fernando Koch, Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto:
Optimising resource costs of cloud computing for education. Future Gener. Comput. Syst. 55: 473-479 (2016) - [c30]Bruno Silva, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha:
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. WORKS@SC 2016: 4-14 - [c29]Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs:
Helping HPC Users Specify Job Memory Requirements via Machine Learning. HUST@SC 2016: 6-13 - [i8]Artur Baruchi, Edson T. Midorikawa, Liria M. Sato, Marco A. S. Netto:
Exploiting Workload Cycles for Orchestration of Virtual Machine Live Migrations in Clouds. CoRR abs/1607.07846 (2016) - [i7]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto:
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds. CoRR abs/1608.06310 (2016) - [i6]Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs:
Helping HPC Users Specify Job Memory Requirements via Machine Learning. CoRR abs/1611.02905 (2016) - [i5]Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. CoRR abs/1611.02917 (2016) - 2015
- [j9]Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum:
Deciding When and How to Move HPC Jobs to the Cloud. Computer 48(11): 86-89 (2015) - [j8]Fernando Luiz Koch, Marcos Dias de Assunção, Carlos Cardonha, Marco Aurélio Stelmar Netto, Tiago T. Primo:
An architecture and algorithm for context-aware resource allocation for digital teaching platforms. IBM J. Res. Dev. 59(6) (2015) - [j7]Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco A. S. Netto, Rajkumar Buyya:
Big Data computing and clouds: Trends and future directions. J. Parallel Distributed Comput. 79-80: 3-15 (2015) - [c28]Leonardo P. Tizzei, Marco A. S. Netto, Shu Tao:
Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slots. GECON 2015: 3-17 - [c27]Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto:
An SLA-Based Advisor for Placement of HPC Jobs on Hybrid Clouds. ICSOC 2015: 324-332 - [c26]Andre Abrantes D. P. Souza, Marco A. S. Netto:
Using Application Data for SLA-Aware Auto-scaling in Cloud Environments. MASCOTS 2015: 252-255 - [i4]Andre Abrantes D. P. Souza, Marco A. S. Netto:
Using Application Data for SLA-aware Auto-scaling in Cloud Environments. CoRR abs/1506.05443 (2015) - [i3]Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto:
An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds. CoRR abs/1507.05472 (2015) - 2014
- [c25]Renato Luiz de Freitas Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco Aurélio Stelmar Netto:
Exploiting User Patience for Scaling Resource Capacity in Cloud Services. IEEE CLOUD 2014: 448-455 - [c24]Artur Baruchi, Edson Toshimi Midorikawa, Marco Aurélio Stelmar Netto:
Improving Virtual Machine live migration via application-level workload analysis. CNSM 2014: 163-168 - [c23]Marco Aurélio Stelmar Netto, Carlos Cardonha, Renato Luiz de Freitas Cunha, Marcos D. Assuncao:
Evaluating Auto-scaling Strategies for Cloud Computing Environments. MASCOTS 2014: 187-196 - 2013
- [j6]Rodrigo N. Calheiros, Marco Aurélio Stelmar Netto, César A. F. De Rose, Rajkumar Buyya:
EMUSIM: an integrated emulation and simulation environment for modeling, evaluation, and validation of performance of Cloud computing applications. Softw. Pract. Exp. 43(5): 595-612 (2013) - [c22]Silvio Luiz Stanzani, Liria Matsumoto Sato, Marco Aurélio Stelmar Netto:
Scheduling Workflows in Multi-cluster Environments. AINA Workshops 2013: 560-565 - [c21]Marco Aurélio Stelmar Netto, Marcos D. Assuncao, Silvia Bianchi:
Leveraging attention scarcity to improve the overall user experience of Cloud services. CNSM 2013: 84-91 - [c20]Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz:
Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom. ICSOC 2013: 550-557 - [c19]Marco Aurélio Stelmar Netto, Marcos Dias de Assunção:
Software bundling selection for Cloud virtual machine images. IM 2013: 575-581 - [c18]Marco Aurélio Stelmar Netto, Marcos Dias de Assunção:
When cloud virtual machine images need to be updated. IM 2013: 884-887 - [i2]Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz:
Patience-aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom. CoRR abs/1308.4166 (2013) - [i1]Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco Aurélio Stelmar Netto, Rajkumar Buyya:
Big Data Computing and Clouds: Challenges, Solutions, and Future Directions. CoRR abs/1312.4722 (2013) - 2012
- [j5]Marco Aurélio Stelmar Netto, Rajkumar Buyya:
Coordinated rescheduling of Bag-of-Tasks for executions on multiple resource providers. Concurr. Comput. Pract. Exp. 24(12): 1362-1376 (2012) - [j4]Vincent C. Emeakaroha, Marco Aurélio Stelmar Netto, Rodrigo N. Calheiros, Ivona Brandic, Rajkumar Buyya, César A. F. De Rose:
Towards autonomic detection of SLA violations in Cloud infrastructures. Future Gener. Comput. Syst. 28(7): 1017-1029 (2012) - [j3]Antonio M. de Lima, Marco Aurélio Stelmar Netto, Thais Webber, Ricardo M. Czekster, César A. F. De Rose, Paulo Fernandes:
Performance evaluation of OpenMP-based algorithms for handling Kronecker descriptors. J. Parallel Distributed Comput. 72(5): 678-692 (2012) - [c17]Vincent C. Emeakaroha, Tiago C. Ferreto, Marco Aurélio Stelmar Netto, Ivona Brandic, César A. F. De Rose:
CASViD: Application Level Monitoring for SLA Violation Detection in Clouds. COMPSAC 2012: 499-508 - [c16]Fernando Luiz Koch, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto:
A Cost Analysis of Cloud Computing for Education. GECON 2012: 182-196 - [c15]Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Brian Peterson, Lakshminarayanan Renganarayana, John J. Rofrano, Chris Ward, Chris Young:
CloudAffinity: A framework for matching servers to cloudmates. NOMS 2012: 213-220 - [c14]Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Fernando Luiz Koch, Silvia Bianchi:
Context-Aware Job Scheduling for Cloud Computing Environments. UCC 2012: 255-262 - [c13]Marcos Dias de Assunção, Victor F. Cavalcante, Maíra A. de C. Gatti, Marco Aurélio Stelmar Netto, Claudio S. Pinhanez, Cleidson R. B. de Souza:
Scheduling with preemption for incident management: when interrupting tasks is not such a bad idea. WSC 2012: 403:1-403:12 - 2011
- [j2]Tiago C. Ferreto, Marco Aurélio Stelmar Netto, Rodrigo N. Calheiros, César A. F. De Rose:
Server consolidation with migration control for virtualized data centers. Future Gener. Comput. Syst. 27(8): 1027-1034 (2011) - [j1]Marco Aurélio Stelmar Netto, Christian Vecchiola, Michael Kirley, Carlos A. Varela, Rajkumar Buyya:
Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications. J. Parallel Distributed Comput. 71(10): 1388-1399 (2011) - [c12]Marco Aurélio Stelmar Netto:
CANPRO: A Conflict-Aware Protocol for Negotiation of Cloud Resources and Services. ICSOC 2011: 541-548 - [c11]Marco Aurélio Stelmar Netto, Suzane Menon, Hugo V. Vieira, Leandro T. Costa, Flávio Moreira de Oliveira, Rodrigo S. Saad, Avelino F. Zorzo:
Evaluating Load Generation in Virtualized Environments for Software Performance Testing. IPDPS Workshops 2011: 993-1000 - 2010
- [c10]Antonio M. de Lima, Thais Webber, Marco A. S. Netto, Ricardo M. Czekster, César A. F. De Rose, Paulo Fernandes:
OpenMP-based Parallel Algorithms for Solving Kronecker Descriptors. SBAC-PAD (Workshops) 2010: 55-60
2000 – 2009
- 2009
- [c9]Marco Aurélio Stelmar Netto, Rajkumar Buyya:
Offer-based scheduling of deadline-constrained Bag-of-Tasks applications for utility computing systems. IPDPS 2009: 1-11 - 2008
- [c8]Marco Aurélio Stelmar Netto, Rajkumar Buyya:
Rescheduling co-allocation requests based on flexible advance reservations and processor remapping. GRID 2008: 144-151 - 2007
- [c7]Marco Aurélio Stelmar Netto, Rajkumar Buyya:
Impact of Adaptive Resource Allocation Requests in Utility Cluster Computing Environments. CCGRID 2007: 214-224 - [c6]Marco Aurélio Stelmar Netto, Kris Bubendorfer, Rajkumar Buyya:
SLA-Based Advance Reservations with Flexible and Adaptive Time QoS Parameters. ICSOC 2007: 119-131 - 2006
- [c5]Carlos Queiroz, Marco A. S. Netto, Rajkumar Buyya:
Message passing over windows-based desktop grids. MGC@Middleware 2006: 15 - 2005
- [c4]Marco Aurélio Stelmar Netto, Ardala Breda, Osmar Norberto de Souza:
Scheduling complex computer simulations on heterogeneous non-dedicated machines: a case study in structural bioinformatics. CCGRID 2005: 768-775 - [c3]Marco Aurélio Stelmar Netto, Rodrigo N. Calheiros, Rafael K. S. Silva, César A. F. De Rose, Caio Northfleet, Walfredo Cirne:
Transparent Resource Allocation to Exploit Idle Cluster Nodes in Computational Grids. e-Science 2005: 238-245 - [c2]Pierre-François Dutot, Marco Aurélio Stelmar Netto, Alfredo Goldman, Fabio Kon:
Scheduling Moldable BSP Tasks. JSSPP 2005: 157-172 - 2003
- [c1]Marco Aurélio Stelmar Netto, César A. F. De Rose:
CRONO: A Configurable and Easy to Maintain Resource Manager Optimized for Small and Mid-Size GNU/Linux Cluster. ICPP 2003: 555-
Coauthor Index
aka: Marcos D. Assuncao
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