Rescheduling and checkpointing as strategies to run synchronous parallel programs on P2P desktop grids. - Rodrigo da Rosa Righi; Alexandre Da Silva Veith; Vinicius Facco Rodrigues; Gustavo Rostirolla; Cristiano André da Costa; Kleinner Farias; Antônio Marcos Alberti (SAC, 2015)

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments. - Alexandre Da Silva Veith; Julio C. S. dos Anjos; Edison Pignaton de Freitas; Thomas J. Lampoltshammer; Cláudio Fernando Resin Geyer (CoRR, 2017)

Resource Elasticity for Distributed Data Stream Processing: A Survey and Future Directions. - Marcos Dias de Assunção; Alexandre Da Silva Veith; Rajkumar Buyya (CoRR, 2017)

Latency-Aware Placement of Data Stream Analytics on Edge Computing. - Alexandre Da Silva Veith; Marcos Dias de Assunção; Laurent Lefèvre (ICSOC, 2018)

Enabling Strategies for Big Data Analytics in Hybrid Infrastructures. - Julio C. S. dos Anjos; Kassiano J. Matteussi; Paulo Ricardo Rodrigues De Souza; Alexandre Da Silva Veith; Gilles Fedak; Jorge Luis Victória Barbosa; Cláudio F. R. Geyer (HPCS, 2018)

Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems. - Paulo Ricardo Rodrigues De Souza; Kassiano J. Matteussi; Julio C. S. dos Anjos; Jobe D. D. dos Santos; Cláudio Fernando Resin Geyer; Alexandre Da Silva Veith (HPCS, 2018)

Distributed data stream processing and edge computing: A survey on resource elasticity and future directions. - Marcos Dias de Assunção; Alexandre Da Silva Veith; Rajkumar Buyya (J. Netw. Comput. Appl., 2018)

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources. - Eduard Gibert Renart; Alexandre Da Silva Veith; Daniel Balouek-Thomert; Marcos Dias de Assunção; Laurent Lefèvre; Manish Parashar (CCGRID, 2019)

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. - Alexandre Da Silva Veith; Felipe Rodrigo de Souza; Marcos Dias de Assunção; Laurent Lefèvre; Julio Cesar Santos dos Anjos (ICPP, 2019)

Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing. - Alexandre da Silva Veith; Marcos Dias de Assunção; Laurent Lefèvre (SBAC-PAD, 2019)

Quality of Service Aware Mechanisms for (Re)Configuring Data Stream Processing Applications on Highly Distributed Infrastructure. (Mécanismes prenant en compte la qualité de service pour la (re)configuration d'applications de traitement de flux de données sur une infrastructure hautement distribuée). - Alexandre da Silva Veith (2019)

Scalable Joint Optimization of Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Infrastructure. - Felipe Rodrigo de Souza; Alexandre Da Silva Veith; Marcos Dias de Assunção; Eddy Caron (ICSOC, 2020)

An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Computing. - Felipe Rodrigo de Souza; Marcos Dias de Assunção; Eddy Caron; Alexandre da Silva Veith (SBAC-PAD, 2020)

Boosting Big Data Streaming Applications in Clouds With BurstFlow. - Paulo Ricardo Rodrigues De Souza; Kassiano J. Matteussi; Alexandre Da Silva Veith; Breno F. Zanchetta; Valderi R. Q. Leithardt; Álvaro Lozano Murciego; Edison Pignaton de Freitas; Julio C. S. dos Anjos; Cláudio F. R. Geyer (IEEE Access, 2020)

Pain-o-vision, effortless pain management. - Brian Ramprasad; Hongkai Chen; Alexandre da Silva Veith; Khai N. Truong; Eyal de Lara (MobiSys, 2021)

Sustainable Computing on the Edge: A System Dynamics Perspective. - Brian Ramprasad; Alexandre da Silva Veith; Moshe Gabel; Eyal de Lara (HotMobile, 2021)

Combining DNN partitioning and early exit. - Maryam Ebrahimi; Alexandre da Silva Veith; Moshe Gabel; Eyal de Lara (EdgeSys@EuroSys, 2022)

Shepherd: Seamless Stream Processing on the Edge. - Brian Ramprasad; Pritish Mishra; Myles Thiessen; Hongkai Chen; Alexandre da Silva Veith; Moshe Gabel; Oana Balmau; Abelard Chow; Eyal de Lara (SEC, 2022)

PORTEND: A Joint Performance Model for Partitioned Early-Exiting DNNs. - Maryam Ebrahimi; Alexandre da Silva Veith; Moshe Gabel; Eyal de Lara (ICPADS, 2023)

Latency-Aware Strategies for Deploying Data Stream Processing Applications on Large Cloud-Edge Infrastructure. - Alexandre da Silva Veith; Marcos Dias de Assunção; Laurent Lefèvre (IEEE Trans. Cloud Comput., 2023)

PathFS: A File System for the Hierarchical Edge. - Vinicius Dantas de Lima Melo; Myles Thiessen; Aleksey Panas; Alexandre da Silva Veith; Keijiro Yano; Oana Balmau; Eyal de Lara (EdgeSys@EuroSys, 2024)

Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge. - Pritish Mishra; Nelson Bore; Brian Ramprasad; Myles Thiessen; Moshe Gabel; Alexandre Da Silva Veith; Oana Balmau; Eyal de Lara (SEC, 2024)