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Adriano Vogel

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2020 – today

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2024
[j6]
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Adriano Vogel, Marco Danelutto, Massimo Torquati, Dalvan Griebler, Luiz Gustavo Fernandes:
Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores. J. Supercomput. 80(15): 22213-22244 (2024)
[c18]
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Adriano Vogel, Sören Henning, Esteban Pérez-Wohlfeil, Otmar Ertl, Rick Rabiser:
A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks. DEBS 2024: 171-182
[c17]
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Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser:
ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. ICPE 2024: 2-13
[i3]
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  - journals/corr/abs-2403-04570
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Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser:
ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. CoRR abs/2403.04570 (2024)
[i2]
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  - journals/corr/abs-2404-06203
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Adriano Vogel, Sören Henning, Esteban Pérez-Wohlfeil, Otmar Ertl, Rick Rabiser:
A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks. CoRR abs/2404.06203 (2024)
[i1]
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  - journals/corr/abs-2405-07917
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Adriano Vogel, Sören Henning, Esteban Pérez-Wohlfeil, Otmar Ertl, Rick Rabiser:
High-level Stream Processing: A Complementary Analysis of Fault Recovery. CoRR abs/2405.07917 (2024)
2023
[j5]
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  - journals/computing/VogelMGDF23
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Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Online and transparent self-adaptation of stream parallel patterns. Computing 105(5): 1039-1057 (2023)
[j4]
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Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser:
Benchmarking Stream Processing Frameworks for Large Scale Data Shuffling. Softwaretechnik-Trends 43(4) (2023)
[c16]
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Adriano Vogel, Sören Henning, Otmar Ertl, Rick Rabiser:
A systematic mapping of performance in distributed stream processing systems. SEAA 2023: 293-300
[c15]
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Adriano Vogel, Marco Danelutto, Dalvan Griebler, Luiz Gustavo Fernandes:
Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. PDP 2023: 43-50
2022
[b1]
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Adriano Vogel:
Self-adaptive Abstractions for Efficient High-level Parallel Computing in Multi-cores. University of Pisa, Italy, 2022
[j3]
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  - journals/concurrency/VogelGDF22
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Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Self-adaptation on parallel stream processing: A systematic review. Concurr. Comput. Pract. Exp. 34(6) (2022)
[c14]
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Vitor Barth, Adriano Vogel, Dalvan Griebler, Márcio Sarroglia Pinho:
Open Source Augmented Reality in Data Center Infrastructure Maintenance. SVR 2022: 151-156
2021
[j2]
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Adriano Vogel, Dalvan Griebler, Luiz Gustavo Fernandes:
Providing high-level self-adaptive abstractions for stream parallelism on multicores. Softw. Pract. Exp. 51(6): 1194-1217 (2021)
[c13]
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Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. PDP 2021: 89-93
2020
[j1]
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Dalvan Griebler, Adriano Vogel, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes:
Simplifying and implementing service level objectives for stream parallelism. J. Supercomput. 76(6): 4603-4628 (2020)

2010 – 2019

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2019
[c12]
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Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores. Euro-Par Workshops 2019: 30-41
[c11]
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  - conf/iscc/MaliszewskiVGRF19
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Anderson M. Maliszewski, Adriano Vogel, Dalvan Griebler, Eduardo Roloff, Luiz Gustavo Fernandes, Philippe O. A. Navaux:
Minimizing Communication Overheads in Container-based Clouds for HPC Applications. ISCC 2019: 1-6
[c10]
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Adriano Vogel, Dalvan Griebler, Luiz Gustavo Fernandes, Marco Danelutto:
Seamless Parallelism Management for Video Stream Processing on Multi-Cores. PARCO 2019: 533-542
[c9]
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  - conf/pdp/MaronVGF19
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Carlos A. F. Maron, Adriano Vogel, Dalvan Griebler, Luiz Gustavo Fernandes:
Should PARSEC Benchmarks be More Parametric? A Case Study with Dedup. PDP 2019: 217-221
2018
[c8]
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Adriano Vogel, Dalvan Griebler, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes:
Autonomic and Latency-Aware Degree of Parallelism Management in SPar. Euro-Par Workshops 2018: 28-39
[c7]
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Dalvan Griebler, Daniele De Sensi, Adriano Vogel, Marco Danelutto, Luiz Gustavo Fernandes:
Service Level Objectives via C++11 Attributes. Euro-Par Workshops 2018: 745-756
[c6]
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  - conf/iscc/GrieblerVMMSF18
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Dalvan Griebler, Adriano Vogel, Carlos A. F. Maron, Anderson M. Maliszewski, Claudio Schepke, Luiz Gustavo Fernandes:
Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions. ISCC 2018: 450-456
[c5]
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  - conf/wscad/VogelRJEGMF18
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Adriano Vogel, Cassiano Rista, Gabriel Justo, Endrius Ewald, Dalvan Griebler, Gabriele Mencagli, Luiz Gustavo Fernandes:
Parallel Stream Processing with MPI for Video Analytics and Data Visualization. WSCAD (Selected Papers) 2018: 102-116
[c4]
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  - conf/wscad/EwaldVRGMF18
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Endrius Ewald, Adriano Vogel, Cassiano Rista, Dalvan Griebler, Isabel Harb Manssour, Luiz Gustavo Fernandes:
Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL. WSCAD 2018: 221-228
[c3]
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Anderson Mattheus Maliszewski, Dalvan Griebler, Adriano Vogel, Claudio Schepke:
On the Performance of Multithreading Applications under Private Cloud Conditions. WSCAD 2018: 273
2017
[c2]
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Adriano Vogel, Dalvan Griebler, Claudio Schepke, Luiz Gustavo Fernandes:
An Intra-Cloud Networking Performance Evaluation on CloudStack Environment. PDP 2017: 468-472
2016
[c1]
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Adriano Vogel, Dalvan Griebler, Carlos A. F. Maron, Claudio Schepke, Luiz Gustavo Fernandes:
Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack. PDP 2016: 672-679

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