Highlighted Publications

Selected joint member publications as well as technical reports published by SPEC RG are available at the publication page.

Group Publications

Change Point Detection for MongoDB Time Series Performance Regression. Leznik, Mark; Iqbal, Md Shahriar; Trubin, Igor A.; Lochner, Arne; Jamshidi, Pooyan; Bauer, André; in Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (ICPE ’22 Companion) (2022). ACM.

SPEC Research - Introducing the Predictive Data Analytics Working Group. Bauer, André; Leznik, Mark; Seybold, Daniel; Trubin, Igor; Erb, Benjamin; Domaschka, Jörg; Jamshidi, Pooyan; in Companion of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022).

In the following, we list a selection of relevant publications by members of the RG Predictive Data Analytics working group

Libra: A Benchmark for Time Series Forecasting Methods. Bauer, André; Züfle, Marwin; Eismann, Simon; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).

Leznik, M., Michalsky, P., Willis, P., Schanzel, B., Östberg, P. O., & Domaschka, J. (2021, April). Multivariate Time Series Synthesis Using Generative Adversarial Networks. In Proceedings of the ACM/SPEC International Conference on Performance Engineering (pp. 43-50).

Le Duc, T., Leznik, M., Domaschka, J., & Östberg, P. O. (2020, April). Workload diffusion modeling for distributed applications in fog/edge computing environments. In Proceedings of the ACM/SPEC International Conference on Performance Engineering (pp. 218-229).

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. Bauer, André; Züfle, Marwin; Herbst, Nikolas; Kounev, Samuel; Curtef, Valentin; in Proceedings of the 36th International Conference on Data Engineering (ICDE) (2020).

Iqbal, M. S., Krishna, R., Javidian, M. A., Ray, B., & Jamshidi, P. CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning.

Erb, B., Meißner, D., Kargl, F., Steer, B.A., Cuadrado, F., Margan, D. and Pietzuch, P. 2018. Graphtides: A Framework for Evaluating Stream-Based Graph Processing Platforms. Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (Houston, Texas, 2018).

Meißner, D., Erb, B. and Kargl, F. 2018. Performance Engineering in Distributed Event-sourced Systems. Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems (New York, NY, USA, 2018), 242–245.