Alexandre da Silva Veith

Orcid: 0000-0001-5130-1792

According to our database1, Alexandre da Silva Veith authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
PathFS: A File System for the Hierarchical Edge.
Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking, 2024

2023
Latency-Aware Strategies for Deploying Data Stream Processing Applications on Large Cloud-Edge Infrastructure.
IEEE Trans. Cloud Comput., 2023

PORTEND: A Joint Performance Model for Partitioned Early-Exiting DNNs.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Shepherd: Seamless Stream Processing on the Edge.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Combining DNN partitioning and early exit.
Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

2021
Sustainable Computing on the Edge: A System Dynamics Perspective.
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021

Pain-o-vision, effortless pain management.
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

2020
Boosting Big Data Streaming Applications in Clouds With BurstFlow.
IEEE Access, 2020

An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Computing.
Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Scalable Joint Optimization of Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Infrastructure.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

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).
PhD thesis, 2019

Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing.
Proceedings of the 31st International Symposium on Computer Architecture and High Performance Computing, 2019

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
Distributed data stream processing and edge computing: A survey on resource elasticity and future directions.
J. Netw. Comput. Appl., 2018

Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Enabling Strategies for Big Data Analytics in Hybrid Infrastructures.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Latency-Aware Placement of Data Stream Analytics on Edge Computing.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
Resource Elasticity for Distributed Data Stream Processing: A Survey and Future Directions.
CoRR, 2017

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments.
CoRR, 2017

2015
Rescheduling and checkpointing as strategies to run synchronous parallel programs on P2P desktop grids.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015


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