Done Yet? A Critical Introspective of the Cloud Management Toolbox. - Mark Leznik; Simon Volpert; Frank Griesinger; Daniel Seybold; Jörg Domaschka (ICE/ITMC, 2018)

An Event-Driven Multi Agent System for Scalable Traffic Optimization. - Geir Horn; Tomasz Przezdziek; Monika Büscher; Salvatore Venticinque; Rocco Aversa; Beniamino Di Martino; Antonio Esposito 001; Pawel Skrzypek; Mark Leznik (AINA Workshops, 2020)

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. - Johannes Grohmann; Daniel Seybold; Simon Eismann; Mark Leznik; Samuel Kounev; Jörg Domaschka (MASCOTS, 2020)

Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments. - Thang Le Duc; Mark Leznik; Jörg Domaschka; Per-Olov Östberg (ICPE, 2020)

Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper. - Jörg Domaschka; Mark Leznik; Daniel Seybold; Simon Eismann; Johannes Grohmann; Samuel Kounev (ICPE (Companion), 2021)

Multivariate Time Series Synthesis Using Generative Adversarial Networks. - Mark Leznik; Patrick Michalsky; Peter Willis 001; Benjamin Schanzel; Per-Olov Östberg; Jörg Domaschka (ICPE, 2021)

SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper. - André Bauer 001; Mark Leznik; Md Shahriar Iqbal; Daniel Seybold; Igor Trubin; Benjamin Erb; Jörg Domaschka; Pooyan Jamshidi (ICPE (Companion), 2022)

Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity. - Mark Leznik; Johannes Grohmann; Nina Kliche; André Bauer 001; Daniel Seybold; Simon Eismann; Samuel Kounev; Jörg Domaschka (ICPE, 2022)

Change Point Detection for MongoDB Time Series Performance Regression. - Mark Leznik; Md Shahriar Iqbal; Igor Trubin; Arne Lochner; Pooyan Jamshidi; André Bauer 001 (ICPE (Companion), 2022)

[SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis. - Mark Leznik; Arne Lochner; Stefan Wesner; Jörg Domaschka (J. Syst. Res., 2022)

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. - André Bauer 001; Martin Straesser; Mark Leznik; Lukas Beierlieb; Marius Hadry; Nathaniel Hudson; Kyle Chard; Samuel Kounev; Ian T. Foster (ICPE (Companion), 2023)

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. - André Bauer 001; Mark Leznik; Michael Stenger; Robert Leppich; Nikolas Herbst; Samuel Kounev; Ian T. Foster (CoRR, 2023)

Comprehensive Exploration of Synthetic Data Generation: A Survey. - André Bauer 001; Simon Trapp; Michael Stenger; Robert Leppich; Samuel Kounev; Mark Leznik; Kyle Chard; Ian T. Foster (CoRR, 2024)