From ca2a2fe3bda85d0eee7f6c68095b10a9ba4f39b5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?S=C3=B6ren=20Henning?= <soeren.henning@jku.at> Date: Sun, 12 Nov 2023 16:03:13 +0100 Subject: [PATCH] Update DOI in list of publications --- docs/publications.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/publications.md b/docs/publications.md index 46977e76..79f94fc6 100644 --- a/docs/publications.md +++ b/docs/publications.md @@ -9,7 +9,7 @@ nav_order: 9 Below you can find a list of publications that utilize, describe, or evaluate Theodolite: * 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). -* 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. *In press.* +* 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. “[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). * S. Henning and W. Hasselbring. “[Benchmarking Scalability of Cloud-Native Applications](https://dl.gi.de/bitstream/handle/20.500.12116/40081/paper16.pdf)”. In: *Software Engineering*. 2023. * S. Henning and W. Hasselbring. “[A Configurable Method for Benchmarking Scalability of Cloud-Native Applications](https://doi.org/10.1007/s10664-022-10162-1)”. In: *Empirical Software Engineering* 27. 2022. DOI: [10.1007/s10664-022-10162-1](https://doi.org/10.1007/s10664-022-10162-1). -- GitLab