Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack. - Adriano Vogel; Dalvan Griebler; Carlos A. F. Maron; Claudio Schepke; Luiz Gustavo Fernandes (PDP, 2016)

An Intra-Cloud Networking Performance Evaluation on CloudStack Environment. - Adriano Vogel; Dalvan Griebler; Claudio Schepke; Luiz Gustavo Fernandes (PDP, 2017)

Service Level Objectives via C++11 Attributes. - Dalvan Griebler; Daniele De Sensi; Adriano Vogel; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2018)

Autonomic and Latency-Aware Degree of Parallelism Management in SPar. - Adriano Vogel; Dalvan Griebler; Daniele De Sensi; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2018)

Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions. - Dalvan Griebler; Adriano Vogel; Carlos A. F. Maron; Anderson M. Maliszewski; Claudio Schepke; Luiz Gustavo Fernandes (ISCC, 2018)

Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL. - Endrius Ewald; Adriano Vogel; Cassiano Rista; Dalvan Griebler; Isabel Harb Manssour; Luiz Gustavo Fernandes (WSCAD, 2018)

On the Performance of Multithreading Applications under Private Cloud Conditions. - Anderson Mattheus Maliszewski; Dalvan Griebler; Adriano Vogel; Claudio Schepke (WSCAD, 2018)

Parallel Stream Processing with MPI for Video Analytics and Data Visualization. - Adriano Vogel; Cassiano Rista; Gabriel Justo; Endrius Ewald; Dalvan Griebler; Gabriele Mencagli; Luiz Gustavo Fernandes (WSCAD (Selected Papers), 2018)

Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores. - Adriano Vogel; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2019)

Minimizing Communication Overheads in Container-based Clouds for HPC Applications. - Anderson M. Maliszewski; Adriano Vogel; Dalvan Griebler; Eduardo Roloff; Luiz Gustavo Fernandes; Philippe O. A. Navaux (ISCC, 2019)

Seamless Parallelism Management for Video Stream Processing on Multi-Cores. - Adriano Vogel; Dalvan Griebler; Luiz Gustavo Fernandes; Marco Danelutto (PARCO, 2019)

Should PARSEC Benchmarks be More Parametric? A Case Study with Dedup. - Carlos A. F. Maron; Adriano Vogel; Dalvan Griebler; Luiz Gustavo Fernandes (PDP, 2019)

Simplifying and implementing service level objectives for stream parallelism. - Dalvan Griebler; Adriano Vogel; Daniele De Sensi; Marco Danelutto; Luiz Gustavo Fernandes (J. Supercomput., 2020)

Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. - Adriano Vogel; Gabriele Mencagli; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2021)

Providing high-level self-adaptive abstractions for stream parallelism on multicores. - Adriano Vogel; Dalvan Griebler; Luiz Gustavo Fernandes (Softw. Pract. Exp., 2021)

Open Source Augmented Reality in Data Center Infrastructure Maintenance. - Vitor Barth; Adriano Vogel; Dalvan Griebler; Márcio Sarroglia Pinho (SVR, 2022)

Self-adaptation on parallel stream processing: A systematic review. - Adriano Vogel; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Concurr. Comput. Pract. Exp., 2022)

Self-adaptive Abstractions for Efficient High-level Parallel Computing in Multi-cores. - Adriano Vogel (2022)

A systematic mapping of performance in distributed stream processing systems. - Adriano Vogel; Sören Henning; Otmar Ertl; Rick Rabiser (SEAA, 2023)

Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. - Adriano Vogel; Marco Danelutto; Dalvan Griebler; Luiz Gustavo Fernandes (PDP, 2023)

Online and transparent self-adaptation of stream parallel patterns. - Adriano Vogel; Gabriele Mencagli; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Computing, 2023)

Benchmarking Stream Processing Frameworks for Large Scale Data Shuffling. - Sören Henning; Adriano Vogel; Michael Leichtfried; Otmar Ertl; Rick Rabiser (Softwaretechnik-Trends, 2023)

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks. - Adriano Vogel; Sören Henning; Esteban Pérez-Wohlfeil; Otmar Ertl; Rick Rabiser (DEBS, 2024)

ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. - Sören Henning; Adriano Vogel; Michael Leichtfried; Otmar Ertl; Rick Rabiser (ICPE, 2024)

High-level Stream Processing: A Complementary Analysis of Fault Recovery. - Adriano Vogel; Sören Henning; Esteban Pérez-Wohlfeil; Otmar Ertl; Rick Rabiser (CoRR, 2024)

Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. - Sören Henning; Adriano Vogel; Michael Leichtfried; Otmar Ertl; Rick Rabiser (Zenodo, 2024)

Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. - Sören Henning; Adriano Vogel; Michael Leichtfried; Otmar Ertl; Rick Rabiser (Zenodo, 2024)

Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. - Sören Henning; Adriano Vogel; Michael Leichtfried; Otmar Ertl; Rick Rabiser (Zenodo, 2024)

Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores. - Adriano Vogel; Marco Danelutto; Massimo Torquati; Dalvan Griebler; Luiz Gustavo Fernandes (J. Supercomput., 2024)

15th Symposium on Software Performance 2024. - Sören Henning; Mario Kahlhofer; Adriano Vogel (Softwaretechnik-Trends, 2024)

Analyzing Logs of Large-Scale Software Systems Using Time Curves Visualization. - Dmytro Borysenkov; Adriano Vogel; Sören Henning; Esteban Pérez-Wohlfeil (SANER, 2025)

When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing Applications. - Sören Henning; Adriano Vogel; Esteban Pérez-Wohlfeil; Otmar Ertl; Rick Rabiser (SIGSOFT FSE Companion, 2025)

Replication Package for: When Should I Run My Application Benchmark? Studying Cloud Performance Variability for the Case of Stream Processing Applications. - Sören Henning; Adriano Vogel; Esteban Pérez-Wohlfeil; Otmar Ertl; Rick Rabiser (Zenodo, 2025)

Automated Planning for Optimal Data Pipeline Instantiation. - Leonardo Rosa Amado; Adriano Vogel; Dalvan Griebler; Gabriel Paludo Licks; Eric Simon; Felipe Meneguzzi (CoRR, 2025)