Alexandre da Silva Veith

• Ph.D. in Computer Science, École Normale Supérieure de Lyon, France, 2019.
• M.Sc. in Computer Science, University of Vale dos Sinos, Unisinos, Brazil, 2014.
• B.S. in Computer Science, FEEVALE University, Brazil, 2011.

International Journals

• da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent. Latency-Aware Strategies for Deploying Data Stream Processing Applications on Large Cloud-Edge Infrastructure. IEEE Transactions on Cloud Computing, 2021. [Link]
• De Souza Junior, Paulo R. R.; Matteussi, Kassiano J.; da Silva Veith, Alexandre; Zanchetta, Breno F.; R. Q. Leithardt, Valderi; Lozano M., Álvaro; P. de Freitas, Edison; dos Anjos, Julio C. S.; R. Geyer, Claudio F.. Boosting Big Data Streaming Applications in Clouds with BurstFlow. IEEE Access, 2020, 8, pp. 219124–219136. [Link]
• de Assunção, Marcos Dias; da Silva Veith, Alexandre; Buyya, Rajkumar. Distributed data stream processing and edge computing: A survey on resource elasticity and future directions. Journal of Network and Computer Applications, 2018, 103, pp.1–17. [Link]

International Conferences

• Mishra, Pritish; Bore, Nelson; Ramprasad, Brian; Thiessen, Myles; Gabel, Moshe; da Silva Veith, Alexandre; Balmau, Oana; de Lara, Eyal. Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge. Proceedings of the 9th IEEE/ACM Symposium on Edge Computing (SEC 2024). December, 2024, Roma, Italy, pp. 234-248. [Link] (Best Paper Award)
• Dantas de Lima Melo, Vinicius; Thiessen , Myles; Panas, Aleksey; da Silva Veith, Alexandre; Yano, Keijiro; Balmau, Oana; de Lara, Eyal. PathFS: A File System for the Hierarchical Edge. Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking (EdgeSys '24). April 2024, Athens, Greece, pp.55–60. [Link]
• Ebrahimi, Maryam; da Silva Veith, Alexandre; Gabel, Moshe; de Lara, Eyal. PORTEND: A Joint Performance Model for Partitioned Early-Exiting DNNs. Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023). December 2023, Hainan, China, pp.2475-2482. [Link]
• Ramprasad, Brian; Mishra, Pritish; Thiessen, Myles; Chen, Hongkai; da Silva Veith, Alexandre; Gable, Moshe; Balmau, Oana; Chow, Abelard; de Lara, Eyal. Shepherd: Seamless Stream Processing on the Edge. The Seventh ACM/IEEE Symposium on Edge Computing (SEC’22).December2022, Seattle, WA, US. [Link]
• Ebrahimi, Maryam; da Silva Veith, Alexandre; Gabel, Moshe; de Lara, Eyal. Combining DNN partitioning and early exit. Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking (EdgeSys '22). April 2022, Rennes, France, pp.25–30. [Link]
• Ramprasad, Brian; da Silva Veith, Alexandre; Gabel, Moshe; de Lara, Eyal. Sustainable Computing on the Edge: A System Dynamics Perspective. 22nd International Workshop on Mobile Computing Systems and Applications (HotMobile ‘21). February 2021, United Kingdom (Virtual Event), pp.64–70. [Link]
• de Souza, Felipe Rodrigo; da Silva Veith, Alexandre; Dias de Assunção, Marcos; Caron, Eddy. Scalable Joint Optimization of Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Infrastructure. 18th International Conference on Service-Oriented Computing (ICSOC 2020). December 2020, Dubai (UAE), pp.149–164. [Link]
• de Souza, Felipe Rodrigo; Dias de Assunção, Marcos; Caron, Eddy; da Silva Veith, Alexandre. An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Computing. International Symposium on Computer Architecture and High-Performance Computing (SBAC-PAD 2020). September 2020, Porto, Portugal. [Link]
• da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent. Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing. International Symposium on Computer Architecture and High-Performance Computing (SBAC-PAD 2019), October 2019, Campo Grande, Brazil. pp 48-55. [Link]
• da Silva Veith, Alexandre; de Souza, Felipe Rodrigo; Dias de Assunção, Marcos; Lefèvre, Laurent; Santos dos Anjos, Julio Cesar. Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. 48th International Conference on Parallel Processing. (ICPP 2019), August 2019, Kyoto, Japan. pp. 106:1–106:10. [Link]
• Gibert Renart, Eduard; da Silva Veith, Alexandre; Balouek-Thomert, Daniel; Dias de Assunção, Marcos; Lefèvre, Laurent. Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources. 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019), May 2019, Larnaca, Cyprus. pp. 459-468. [Link]
• da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent. Latency-Aware Placement of Data Stream Analytics on Edge Computing. 16th International Conference on Service-Oriented Computing (ICSOC 2018 ), Nov 2018, Hangzhou, Zhejiang, China. pp. 1-15. [Link]
• C. S. Anjos, Julio; Matteussi, Kassiano; R. R. De Souza Jr, Paulo; da Silva Veith, Alexandre; Fedak, Gilles; Luis Victoria Barbosa, Jorge and R. Geyer, Claudio. Enabling Strategies for Big Data Analytics in Hybrid Infrastructures. The 2018 International Conference on High-Performance Computing & Simulation (HPCS 2018), 2018, pp. 869-876. [Link]
• R. R. De Souza Jr, Paulo; Matteussi, Kassiano; C. S. Anjos, Julio; D. D. dos Santos, Jobe and R. Geyer, Claudio; da Silva Veith, Alexandre. Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems. The 2018 International Conference on High-Performance Computing & Simulation (HPCS 2018), 2018, pp.585-592. [Link]
• da Silva Veith, Alexandre; dos, A. J. C., de Freitas Edison Pignaton, J., L. T., and F., G. C.. Strategies for big data analytics through lambda architectures in volatile environments. 4th {IFAC} Symposium on Telematics Applications ({TA} 2016), November 2016, Porto Alegre, Brazil.pp.114-119. [Link]
• da Rosa Righi, Rodrigo; da Silva Veith, Alexandre; Rodrigues, Vinicius Facco; Rostirolla, Gustavo; da Costa, Cristiano André; Farias, Kleinner; Alberti, Antonio Marcos. Rescheduling and checkpointing as strategies to run synchronous parallel programs on P2P desktop grids. Proceedings of the 30th Annual ACM Symposium on Applied Computing (SAC '15). New York: ACM Press. 2015. pp.501-504. [Link]
• da Rosa Righi, Rodrigo; da Silva Veith, Alexandre; Rodrigues, Vinicius Facco; Rostirolla, Gustavo. BSPonP2P: Towards Running Bulk-Synchronous ParallelApplications on P2P Desktop Grids. International Conference on Parallel and Distributed Processing Techniques and Applications, 2015, Las Vegas, Nevada, USA, pp.374-380. [Link]

Book Chapter

• da Silva Veith, Alexandre; Dias de Assunção, Marcos. Apache Spark. Encyclopedia of Big Data Technologies, 2018.DOI: 10.1007/978-3-319-63962-8_37-1, pp.77-81. [Link]

Poster

• Mishra, Pritish; da Silva Veith, Alexandre; de Lara, Eyal. Fledge: Edge-based Federated Learning Framework for Mobile Healthcare. SEC '21, 2021, San Jose, CA, USA.
• Ramprasad, Brian; Chen, Hongkai; da Silva Veith, Alexandre; Truong, Khai; de Lara, Eyal. Pain-o-vision, effortless pain management. MobiSys '21, 2021, New Your, NY, USA. [Link]
• da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre,Laurent. Latency-Aware Strategies for Placing Data Stream Analytics onto Edge Computing. USENIX Workshop on Hot Topics in Edge Computing (HotEdge 2018), 2018, Boston, USA.

National Conference

• da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent. Assessing the Impact of Network Bandwidth and Operator Placement on Data Stream Processing for Edge Computing Environments. Conférence d’informatique en Parallélisme, Architecture et Système.
• da Silva Veith, Alexandre; Righi, Rodrigo.R.. BSPonP2P: Model for Collaborative Computing at BSP Applications in P2P Desktop Grid. Escola Regional de Alto Desempenho (ERAD)

• 2015 INPI - National Institute of Industrial Property(The Brazilian Patent and Trademark Office) - Register number: BR512015000695-9 - Language: C - Software title: BSPonP2P

• da Silva Veith, Alexandre; Righi, Rodrigo. R.. Computação colaborativa de aplicações paralelas em ambientes P2P. NEA - Novas Edições Acadêmicas, 2015. ISBN: 9783639756210.