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 Below you can find a list of publications that utilize, describe, or evaluate Theodolite:
 
-* S. Henning, A. Vogel, M. Leichtfried, O. Ertl, and R. Rabiser. “[ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks](https://doi.org/10.1145/3629526.3645036)”. In: *Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering*. 2024. DOI: [10.1145/3629526.3645036](https://doi.org/10.1145/3629526.3645036).
-* A. Vogel, S. Henning, E. Perez-Wohlfeil, O. Ertl, and R. Rabiser. “[A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks](https://arxiv.org/pdf/2404.06203)”. In: *Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems*. 2024. <!--DOI: [10.1145/3629104.3666040](https://doi.org/10.1145/3629104.3666040).-->
 * S. Henning and W. Hasselbring. “[Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud](https://doi.org/10.1016/j.jss.2023.111879)”. In: *Journal of Systems and Software* 208. 2024. DOI: [10.1016/j.jss.2023.111879](https://doi.org/10.1016/j.jss.2023.111879).
+* S. Henning, A. Vogel, M. Leichtfried, O. Ertl, and R. Rabiser. “[ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks](https://doi.org/10.1145/3629526.3645036)”. In: *Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering*. 2024. DOI: [10.1145/3629526.3645036](https://doi.org/10.1145/3629526.3645036). <span title="Best Industry Paper">🏆</span>
+* A. Vogel, S. Henning, E. Perez-Wohlfeil, O. Ertl, and R. Rabiser. “[A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks](https://doi.org/10.1145/3629104.3666040)”. In: *Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems*. 2024. DOI: [10.1145/3629104.3666040](https://doi.org/10.1145/3629104.3666040).
+* S. Henning and W. Hasselbring. “[Scalability Benchmarking of Cloud-Native Applications: The Theodolite Approach](https://dl.gi.de/items/cbcd658b-6a2f-47f6-9155-e972a5b00ef7)”. In: *Softwaretechnik-Trends* 44 (2). 2024.
 * Govind KP, G. Pierre, R. Rouvoy. “[Studying the Energy Consumption of Stream Processing Engines in the Cloud](https://inria.hal.science/hal-04164074/file/main.pdf)”. In: *IEEE International Conference on Cloud Engineering*. 2023. DOI: [10.1109/IC2E59103.2023.00019](https://doi.org/10.1109/IC2E59103.2023.00019)
 * S. Henning, A. Vogel, M. Leichtfried, O. Ertl, and R. Rabiser. “[Benchmarking Stream Processing Frameworks for Large Scale Data Shuffling](https://dl.gi.de/items/594e1716-4701-4c32-9ae4-feec61c2bcf5)”. In: *Softwaretechnik-Trends* 43 (4) (Symposium on Software Performance). 2023.
 * S. Henning. “[Scalability Benchmarking of Cloud-Native Applications Applied to Event-Driven Microservices](https://doi.org/10.21941/kcss/2023/2)”. In: *Kiel Computer Science Series 2023/2*. 2023. Dissertation, Faculty of Engineering, Kiel University. DOI: [10.21941/kcss/2023/2](https://doi.org/10.21941/kcss/2023/2).