{"id":61,"date":"2020-02-11T11:21:31","date_gmt":"2020-02-11T11:21:31","guid":{"rendered":"http:\/\/cloud.ic.uff.br\/?page_id=61"},"modified":"2025-06-09T16:19:04","modified_gmt":"2025-06-09T16:19:04","slug":"publicacoes","status":"publish","type":"page","link":"https:\/\/cloud.ic.uff.br\/index.php\/pt\/publicacoes\/","title":{"rendered":"Publica\u00e7\u00f5es"},"content":{"rendered":"\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Artigos Publicados em Peri\u00f3dicos e Confer\u00eancias<\/strong><\/h2>\n\n\n\n<ul>\n<li><span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; GALLO, B.; LOPES, B., PORTELLA, F. A.; VITERBO, J.; DRUMMOND, L. M. A.; ANDRADE, L.; de <span class='tooltipsall tooltipsincontent classtoolTips1'>LIMA, M.<\/span>; ESTRELA, P. J. B.; MALINI, R. Q. \u201cTwo-Step Estimation Strategy for Predicting Petroleum Reservoir Simulation Jobs Runtime on an HPC Cluster\u201d. Concurrency and Computation: Practice &amp; Experience, 2025. 37: e70026.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li>de MELO, M. S.; SOUTO, R. P.; DRUMMOND, L. M. A., \u201cOptimized Execution of a Numerical Weather Forecast Model in a Cloud Cluster\u201d. Concurrency and Computation: Practice &amp; Experience, 2025. 37: e8374.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li><span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; BOERES, C.; DRUMMOND, L. M.; PILLA, L. L, \u201c Optimal time and energy-aware client selection algorithms for federated learning on heterogeneous resources.\u201d In <em>2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2024,Hilo. 2024 International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2024. <\/em>p.148-158.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li><span class='tooltipsall tooltipsincontent classtoolTips1'>LIMA, Miguel<\/span>; TEYLO, Luan.; DRUMMOND, L\u00facia, \u201cAn Analysis of Performance Variability in AWS Virtual Machines\u201d. In Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho, 2024, Brasil. Anais do XXV Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho,(SSCAD). p. 312-323.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li><span class='tooltipsall tooltipsincontent classtoolTips1'>LIMA, M.<\/span>; GALLO, B.; ANDRADE, L.; PORTELLA, F.; ESTRELA, P.; MALINI, R.; <span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span>, VITERBO, J.; DRUMMOND, L, \u201cModelos de Predi\u00e7\u00e3o do Tempo de Jobs Aplicados a um Ambiente de Produ\u00e7\u00e3o de Alto Desempenho\u201d. In Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho, 2024, Brasil. Anais do XXV Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho, (SSCAD). (pp. 25-36).<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li><span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; SODR\u00c9, D. B.; BOERES, C.; VITERBO. J.; DRUMMOND, L. M.; REBELLO, V. E.; TEYLO, L.; PORTELLA, F. A.; ESTRELA. P. J. B.; MALINI, R. Q, \u201cA Framework for Executing Long Simulation Jobs Cheaply in the Cloud\u201d. In: <em>2024 IEEE International Conference on Cloud Engineering (IC2E)<\/em> p. 233-244.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li>DRUMMOND, L. M. A.; ANDRADE L.; MUNIZ P. B.; PEREIRA M. M.; SILVA, T. P.; TEYLO, L. \u201cDesign and analyses of web scraping on burstable virtual machines\u201d. Concurrency and Computation: Practice &amp; Experience, 2023.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul>\n<li><p align=\"justify\">MELO, MATEUS S. DE; DRUMMOND, L\u00daCIA M. A.; SOUTO, ROBERTO P., &#8220;An\u00e1lise de Desempenho de um Sistema de Modelagem Atmosf\u00e9rica em Nuvens Computacionais&#8221;. In: Escola Regional de Alto Desempenho do Rio de Janeiro, 2023, Brasil. Anais da VIII Escola Regional de Alto Desempenho do Rio de Janeiro (ERAD-RJ). p. 1.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\"><span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; DRUMMOND, L\u00daCIA MARIA DE ASSUMP\u00c7\u00c3O; BOERES, CRISTINA, &#8220;Reduzindo Custos de Implanta\u00e7\u00e3o e Execu\u00e7\u00e3o de Clusters Spark em Nuvens P\u00fablicas&#8221;. In: Escola Regional de Alto Desempenho do Rio de Janeiro, 2023, Brasil. Anais da VIII Escola Regional de Alto Desempenho do Rio de Janeiro (ERAD-RJ). p. 6.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">VASCONCELOS, ARTHUR B.; BRUM, RAFAELA; PAES, ALINE; DRUMMOND, L\u00daCIA MARIA DE ASSUMP\u00c7\u00c3O, &#8220;Detec\u00e7\u00e3o de Depress\u00e3o nas M\u00eddias Sociais usando Transformers com Aprendizado Federado&#8221;. In: Escola Regional de Alto Desempenho do Rio de Janeiro, 2023, Brasil. Anais da VIII Escola Regional de Alto Desempenho do Rio de Janeiro (ERAD-RJ). p. 11.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\"><span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; MELO, A. C. M. A.; TADONKI, C.; BOERES, C.; OLIVEIRA, D.; DRUMMOND, L\u00daCIA MARIA DE A., &#8220;Optimizing Computational Costs of Spark for SARS-CoV-2 Sequences Comparisons on a Commercial Cloud&#8221;. Concurrency and Computation: Practice &amp; Experience, v. 1, p. 1-15, 2023.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">PEREIRA, MATHEUS MAROTTI; SILVA, THIAGO DO PRADO; DRUMMOND, L\u00daCIA MARIA DE A., &#8220;Web Scraping na Nuvem AWS: Uma Abordagem com M\u00e1quinas Virtuais Burstable&#8221;. In: Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho, 2022, Brasil. Anais do XXIII Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (WSCAD). p. 25.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">CAMPBELL, RONALD; <span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; BOERES, CRISTINA; DRUMMOND, L\u00daCIA MARIA DE ASSUMP\u00c7\u00c3O, &#8220;MapReduce na AWS: Uma An\u00e1lise de Custos Computacionais Utilizando os Servi\u00e7os FaaS e IaaS&#8221;. In: Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho, 2022, Brasil. Anais do XXIII Simp\u00f3sio em Sistemas Computacionais de Alto Desempenho (WSCAD). p. 145.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">BRUM, RAFAELA; CASTRO, M. C. S.; ARANTES, L.; SENS, P.; DRUMMOND, L\u00daCIA M. A., &#8220;Optimizing Execution Time and Costs of Cross-Silo Federated Learning Applications with Datasets on different Cloud Providers&#8221;. In: 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022, Bordeaux. Proceedings of 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022. p. 253-362.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">BRUM, RAFAELA C.; SENS, PIERRE; ARANTES, LUCIANA; CASTRO, MARIA CLICIA; DRUMMOND, LUCIA MARIA DE A., &#8220;Towards a Federated Learning Framework on a Multi-Cloud Environment&#8221;. In: 2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBACPADW), 2022, Bordeaux. 2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), 2022. p. 39-44.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">CARVALHO, PABLO; <span class='tooltipsall tooltipsincontent classtoolTips4'>Cristiana Bentes<\/span>; DRUMMOND, L\u00daCIA M. A., &#8220;Concurrency and Interference Analysis of Kernels on GPUs&#8221;. In: XXXIV Concurso de Teses e Disserta\u00e7\u00f5es (CTD 2021) do CSBC, 2021, Belem. v. 1. p. 49-54.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">DRUMMOND, LUCIA MARIA DE A.; BRUM, R.; SENS, P.; ARANTES, L.; CASTRO, M. C. S.; TEODORO, G., &#8220;Evaluating Federated Learning Scenarios in a Tumor Classification Application&#8221;. In: Escola Regional de Alto Desempenho RJ, 2021, Petr\u00f3polis.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; ARANTES, L.; SENS, P.; DRUMMOND, L., &#8220;Scheduling Bag-of-Tasks in Clouds using Spot and Burstable Virtual Machines&#8221;. IEEE Transactions on Cloud Computing, 2021.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\"><span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; MELO, A.; BOERES, C.; OLIVEIRA D.; DRUMMOND, L., &#8220;Towards Analyzing Computational Costs of Spark for SARS-CoV-2 Sequences Comparisons on a Commercial Cloud&#8221;. WSCAD, 2021.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">BRUM, R.; DRUMMOND, L.; CASTRO M. C.;&nbsp; TEODORO G., &#8220;Towards Optimizing Computational Costs of Federated Learning in Clouds&#8221;. WCC, 2021.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">BRUM, R.; SOUSA, W.; MELO, A.; BENTES, C.; CASTRO, M. C.; DRUMMOND, L., &#8220;A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-based Spot GPU&#8221;. EuroPar, 2021.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; MELO, A.; BOERES, C.; DRUMMOND, L.; <span class='tooltipsall tooltipsincontent classtoolTips10'><span class='tooltipsall tooltipsincontent classtoolTips10'>NUNES, A.<\/span> L.<\/span>; MARTINS, N., &#8220;Comparing SARS-CoV-2 Sequences using a Commercial Cloud with a Spot Instance Based Dynamic Scheduler&#8221;. CCGrid, 2021.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">BRUM, R.; BERNARDINI F.; ALVES M.; DRUMMOND, L., &#8220;Using Machine Learning Techniques to Classify the Interference of HPC applications in Virtual Machines with Uncertain Data&#8221;. WSCAD, 2020.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; ARANTES, L.; SENS, P.; DRUMMOND, L., &#8220;A Dynamic Task Scheduler Tolerant to Multiple Hibernations in Cloud Environments&#8221;. Cluster Computing, 2020.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; BRUM, R.; ARANTES, L.; SENS, P.; DRUMMOND, L., &#8220;Avalia\u00e7\u00e3o dos Servi\u00e7os de Armazenamento da Amazon Web Services para Grava\u00e7\u00e3o e Recupera\u00e7\u00e3o de Checkpoints&#8221;. WTF, 2020.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; BRUM, R.; ARANTES, L.; SENS, P.; DRUMMOND, L., &#8220;Developing Checkpointing and Recovery&nbsp; Procedures with the&nbsp; Storage Services of Amazon Web Services&#8221;. In Proceedings of the 49th International Conference on Parallel Processing (ICPP): Workshops. ACM, 2020.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">CARVALHO P.; DRUMMOND L.;&nbsp; CLUA E.;&nbsp; PAES A.; BENTES C.; LOPES B., &#8220;Using Machine Learning Techniques to Analyze the Performance of Concurrent Kernel Execution on GPUs&#8221;. Future Generation Computer Systems, 2020.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">BASTOS, I. V.; MORAES, I. M.; NGUYEN, T. M. T.; PUJOLLE, G., &#8220;Modelo e Avalia\u00e7\u00e3o da Recupera\u00e7\u00e3o de Conte\u00fados Atrav\u00e9s de Fun\u00e7\u00f5es de Rede Virtuais na Arquitetura de Computa\u00e7\u00e3o na Borda em Redes M\u00f3veis&#8221;, em Simp\u00f3sio Brasileiro de Redes de Computadores e de Sistemas Distribu\u00eddos (SBRC), 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; DRUMMOND, L.; ARANTES, L.; SENS, P., &#8220;Escalonamento de Aplica\u00e7\u00f5es em Inst\u00e2ncias Preemptivas Sujeitas a Falhas Temporais&#8221;, em XX Workshop de Testes e Toler\u00e2ncia a Falhas (WTF), 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; ARANTES, L.; SENS, P.; DRUMMOND, L., &#8220;A Hibernation Aware Dynamic Scheduler for Cloud Environments&#8221;. In Proceedings of the 48th International Conference on Parallel Processing (ICPP): Workshops (p. 24). ACM, 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEYLO, L.; ARANTES, L.; SENS, P.; DRUMMOND, L., &#8220;A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds&#8221;. In The International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">HEIDSIECK, G.; OLIVEIRA, D.; PACITTI, E.; PRADAL, C.; TARDIEU, F.; VALDURIEZ, P., &#8220;Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud&#8221;. In: 30th International Conference on Database and Expert Systems Applications, 2019, Linz, Austria. Proceedings of the 30th International Conference on Database and Expert Systems Applications, 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">HEIDSIECK, G.; OLIVEIRA, D.; PACITTI, E.; PRADAL, C.; TARDIEU, F.; VALDURIEZ, P., &#8220;Efficient Execution of Scientific Workflows in the Cloud through Adaptive Caching&#8221;. In: 35\u00e8me Conf\u00e9rence sur la Gestion de Donn\u00e9es Principes, Technologies et Applications, 2019, Lyon, Fran\u00e7a. 35\u00e8me Conf\u00e9rence sur la Gestion de Donn\u00e9es Principes, Technologies et Applications, 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">CRUZ, R. A.; BENTES, C.; BREDER, B.; VASCONCELLOS, E.; CLUA, E.; DE CARVALHO, P. M.; DRUMMOND, L. M., &#8220;Maximizing the GPU resource usage by reordering concurrent kernels submission&#8221;. Concurrency and Computation: Practice and Experience, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">CARVALHO, P.; CRUZ, R.; DRUMMOND, L. M.; BENTES, C.; CLUA, E.; CATALDO, E.; MARZULO, L.A., &#8220;Kernel concurrency opportunities based on GPU benchmarks characterization&#8221;. Cluster Computing, pp. 1-12, 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">GUEDES, T.; JESUS A. L.; OCA\u00d1A, K. A.; DRUMMOND L. M.; OLIVEIRA, D., &#8220;Provenance-based fault tolerance technique recommendation for cloud-based scientific workflows: a practical approach&#8221;. Cluster Computing, 2019.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">TEOBALDO BULH\u00d5ES; RUSLAN SADYKOV; EDUARDO UCHOA, &#8220;A branch-and-price algorithm for the Minimum Latency Problem&#8221;. Computers &amp; OR 93: 66-78, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">ARTUR ALVES PESSOA; RUSLAN SADYKOV; EDUARDO UCHOA, &#8220;Enhanced Branch-Cut-and-Price algorithm for heterogeneous fleet vehicle routing problems&#8221;. European Journal of Operational Research 270(2): 530-543, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">ARTUR ALVES PESSOA; RUSLAN SADYKOV; EDUARDO UCHOA; FRAN\u00c7OIS VANDERBECK, &#8220;Automation and Combination of Linear-Programming Based Stabilization Techniques in Column Generation&#8221;. INFORMS Journal on Computing 30(2): 339-360, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">SILVA JUNIOR, L. P.; PAES, A.; PACITTI, E.; OLIVEIRA, D., &#8220;FReeP: towards parameter recommendation in scientific workflows using preference learning&#8221;. In: XXXIII Simp\u00f3sio Brasileiro de Banco de Dados, 2018, Rio de Janeiro. Anais do XXXIII Simp\u00f3sio Brasileiro de Banco de Dados. Porto Alegre: Sociedade Brasileira de Computa\u00e7\u00e3o, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">VALDURIEZ, P.; MATTOSO, M.; AKBARINIA, R.; BORGES, H.; CAMATA, J.; COUTINHO, A.; GASPAR, D.; LEMUS, N.; LIU, J.; LUSTOSA, H.; MASSEGLIA, F.; NOGUEIRA, F.; SILVA, V.; SOUZA, R. S.; OCA\u00d1A, K.; OGASAWARA, E.; OLIVEIRA, D.; PACITTI, E.; PORTO, F.; SHASHA, D., &#8220;Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project&#8221;. In: 1st LADaS &#8211; Latin American Data Science Workshop, 2018, Rio de Janeiro. Proceedings of the 1st LADaS &#8211; Latin American Data Science Workshop (in conjunction with VLDB&#8217;18), 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">FIGUEIREDO, ROSA; FROTA, YURI; LABB\u00c9, MARTINE., &#8220;A branch-and-cut algorithm for the maximum-balanced subgraph of a signed graph&#8221;. Discrete Applied Mathematics, v. 1, p. 1-38, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">PANTOJA, C.; SOARES, H. D.; VITERBO, J.; SEGHROUCHNI, A., &#8220;An Architecture for the Development of Ambient Intelligence Systems Managed by Embedded Agents&#8221;. In: International Conference on Software Engineering &amp; Knowledge Engineering, 2018, S\u00e3o Francisco. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, 2018.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">GUITIERREZ, J. L. V.; BOERES, C.; REBELLO, V. E. F., &#8220;Combining VM Preemption Schemes to Improve Vertical Memory Elasticity Scheduling in Clouds&#8221;. In: Proceedings of the 11th International Conference on Utility and Cloud Computing, Zurich, ACM,  p. 53-62, 2018.<\/p><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Livros<\/strong><\/h2>\n\n\n\n<ul>\n<li><p align=\"justify\">BORIN, E.; DRUMMOND, L\u00daCIA MARIA DE A.; GAUDIOT, J.; MELO, M.; NAVAUX, P., High Performance Computing in Clouds: Moving HPC Applications to a Scalable and Cost-Effective Environment. 1. ed. Springer, 2023. v. 1. 340p.<\/p><br><\/li>\n\n\n\n<li><p align=\"justify\">DE OLIVEIRA, D. C. M.; LIU, J.; PACITTI, E., Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments. Morgan &amp; Claypool Publishers; 2019.<\/p><\/li>\n<\/ul>\n<script type=\"text\/javascript\"> toolTips('.classtoolTips1','<strong>Master\\'s Student in Computer Science at the Institute of Computing of the Universidade Federal Fluminense (UFF).<\/strong><br\/><br\/><strong>Short Bio:\u00a0<\/strong><br\/><br\/>He holds a Bachelor\\'s degree in Computer Science from the Universidade Federal de Mato Grosso - Araguaia Campus (2022) and is currently a master\\'s student at the Universidade Federal Fluminense. He has experience in the field of Computer Science, working mainly on the following topics: High-Performance Computing, Cloud Computing, Resource Optimization, and Scheduling.'); <\/script><script type=\"text\/javascript\"> toolTips('.classtoolTips1','<strong>Master\\'s Student in Computer Science at the Institute of Computing of the Universidade Federal Fluminense (UFF).<\/strong><br\/><br\/><strong>Short Bio:\u00a0<\/strong><br\/><br\/>He holds a Bachelor\\'s degree in Computer Science from the Universidade Federal de Mato Grosso - Araguaia Campus (2022) and is currently a master\\'s student at the Universidade Federal Fluminense. He has experience in the field of Computer Science, working mainly on the following topics: High-Performance Computing, Cloud Computing, Resource Optimization, and Scheduling.'); <\/script><script type=\"text\/javascript\"> toolTips('.classtoolTips1','<strong>Master\\'s Student in Computer Science at the Institute of Computing of the Universidade Federal Fluminense (UFF).<\/strong><br\/><br\/><strong>Short Bio:\u00a0<\/strong><br\/><br\/>He holds a Bachelor\\'s degree in Computer Science from the Universidade Federal de Mato Grosso - Araguaia Campus (2022) and is currently a master\\'s student at the Universidade Federal Fluminense. He has experience in the field of Computer Science, working mainly on the following topics: High-Performance Computing, Cloud Computing, Resource Optimization, and Scheduling.'); <\/script><script type=\"text\/javascript\"> toolTips('.classtoolTips4','Adjunct Professor at the Universidade do Estado do Rio de Janeiro.<br\/><br\/>&nbsp;<br\/><p align=\"justify\">Short Bio: She holds a Ph.D. in Systems and Computing Engineering from COPPE - Universidade Federal do Rio de Janeiro (1998). Nowadays, she is an adjunct professor at the Universidade do Estado do Rio de Janeiro. She has experience in \u200b\u200bComputer Science, with an emphasis on the Architecture of Computing Systems, acting on the following topics: high-performance computing, parallel processing, and high-performance volumetric visualization.<\/p>'); <\/script><script type=\"text\/javascript\"> toolTips('.classtoolTips10','<a href=\"https:\/\/cloud.ic.uff.br\/alan_lira_nunes\/\"><img class=\"size-medium wp-image-1204 aligncenter\" src=\"https:\/\/cloud.ic.uff.br\/wp-content\/uploads\/2025\/06\/Alan_Lira_Nunes-229x300.png\" alt=\"\" width=\"229\" height=\"300\" \/><\/a><br\/><br\/><span class='tooltipsall tooltipsincontent classtoolTips10'>Alan L. Nunes<\/span> is a Ph.D. candidate at the Fluminense Federal University in Niter\u00f3i, Rio de Janeiro, 24210-346, Brazil, and at the University of Bordeaux in Talence, Bordeaux, 33000, France.<br\/><p align=\"justify\">Short Bio: Alan received his Master\u2019s degree in Computing from Fluminense Federal University in 2022. His research interests include High-Performance Computing, Distributed Systems, and Federated Learning. Contact him at alan_lira at id.uff.br.<\/p>'); <\/script><script type=\"text\/javascript\"> toolTips('.classtoolTips10','<a href=\"https:\/\/cloud.ic.uff.br\/alan_lira_nunes\/\"><img class=\"size-medium wp-image-1204 aligncenter\" src=\"https:\/\/cloud.ic.uff.br\/wp-content\/uploads\/2025\/06\/Alan_Lira_Nunes-229x300.png\" alt=\"\" width=\"229\" height=\"300\" \/><\/a><br\/><br\/><span class='tooltipsall tooltipsincontent classtoolTips10'>Alan L. Nunes<\/span> is a Ph.D. candidate at the Fluminense Federal University in Niter\u00f3i, Rio de Janeiro, 24210-346, Brazil, and at the University of Bordeaux in Talence, Bordeaux, 33000, France.<br\/><p align=\"justify\">Short Bio: Alan received his Master\u2019s degree in Computing from Fluminense Federal University in 2022. His research interests include High-Performance Computing, Distributed Systems, and Federated Learning. Contact him at alan_lira at id.uff.br.<\/p>'); <\/script>","protected":false},"excerpt":{"rendered":"<p>Artigos Publicados em Peri\u00f3dicos e Confer\u00eancias Livros<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_eb_attr":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/pages\/61"}],"collection":[{"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/comments?post=61"}],"version-history":[{"count":26,"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/pages\/61\/revisions"}],"predecessor-version":[{"id":1171,"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/pages\/61\/revisions\/1171"}],"wp:attachment":[{"href":"https:\/\/cloud.ic.uff.br\/index.php\/wp-json\/wp\/v2\/media?parent=61"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}