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Alexandre da Silva Veith

Antwerp, Belgium
Researcher Software Engineer

Biography

Alexandre da Silva Veith joined Nokia Bell Labs as a Researcher Software Engineer in August 2022. Previously, he was a postdoctoral researcher at the University of Toronto (Canada). Alexandre holds a Ph.D. in Computer Science from École Normale Supérieure de Lyon, France, and an M.Sc. degree from the University of Vale dos Sinos – Unisinos, Brazil.

Alexandre's work focuses on distributed software systems on cloud-edge infrastructure. His contributions address problems in a wide-range set of topics such as distributed file systems, ML (early-exit, DNN partitioning, and DNN placement), elasticity and reconfiguration of stream processing systems, and single/multi-objective optimizations. His solutions investigate mechanisms by exploiting queueing theory, graph theory, reinforcement learning, federated learning, machine learning, heuristics, solvers, among others. Alexandre is an active member of the research community. He published over 15 papers, served more than 9 PCs, and reviewed papers for top-tier journals.

Interests:

  • Elasticity for data stream processing applications.
  • Modelling distributed system behaviors.
  • Mono- and multi-objective optimization problems.
  • (Near) Real-time solutions for big data analytics.
  • Machine Learning (ML) and Reinforcement Learning (RL).
  • IoT, Cloud, Edge and Fog computing.
  • Federated Learning and Transfer Learning.
  • Distributed file systems.

Featured Quote

Chair:

  • IC2E (Workshop).

Technical Program Committees:

  • DEBS 2023, ICDCS 2023, EuroDW 2022, CCGrid 2022, ICFEC 2022, IEEE SmartComp 2022, ICPP 2020, InterCloud-HPC 2020, and ACM/IEEE Symposium on Edge Computing 2020.

Journal Reviews:

  • IEEE Transactions on Cloud Computing, IEEE Transactions on Parallel and Distributed Systems, Information Sciences, ACM Transactions on Autonomous and Adaptive Systems, Computing, and Communications of the ACM,

Other Paper Reviews:

  • CCGrid 2017, and IEEE Globecom 2017 and 2018.

Education

  • 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.

Selected articles and publications

International Journals

  • da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent. Latency-Aware Strategies forDeploying Data Stream Processing Applications on Large Cloud-Edge Infrastructure. IEEE Transactions on Cloud Computing, 2021.
  • 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.
  • 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.

International Conferences

  • 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.
  • 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). April2022, Rennes, France, pp.25–30.
  • 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.
  • 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.
  • 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.
  • 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 Architectureand High Performance Computing.(SBAC-PAD 2019), October 2019, Campo Grande, Brazil. pp 48-55.
  • 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 Analyticson Edge Computing. 48th International Conference on Parallel Processing. (ICPP 2019), August 2019, Kyoto, Japan. pp. 106:1–106:10.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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, Brasil.pp.114-119.
  • 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.
  • 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.

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.

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.
  • 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)

Books

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

Patents

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