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2020 – today
- 2024
[i2]André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster:
Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR abs/2401.02524 (2024)- 2023
- [c10]André Bauer
, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster:
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) 2023: 95-99 - [i1]André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster:
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. CoRR abs/2309.15871 (2023) - 2022
- [j1]Mark Leznik, Arne Lochner, Stefan Wesner, Jörg Domaschka:
[SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis. J. Syst. Res. 2(1) (2022) - [c9]André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi:
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper. ICPE (Companion) 2022: 13-14 - [c8]Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer:
Change Point Detection for MongoDB Time Series Performance Regression. ICPE (Companion) 2022: 45-48 - [c7]Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka:
Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity. ICPE 2022: 89-96 - 2021
- [c6]Mark Leznik, Patrick Michalsky, Peter Willis, Benjamin Schanzel, Per-Olov Östberg, Jörg Domaschka:
Multivariate Time Series Synthesis Using Generative Adversarial Networks. ICPE 2021: 43-50 - [c5]Jörg Domaschka, Mark Leznik, Daniel Seybold, Simon Eismann, Johannes Grohmann, Samuel Kounev:
Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper. ICPE (Companion) 2021: 175-178 - 2020
- [c4]Geir Horn, Tomasz Przezdziek, Monika Büscher, Salvatore Venticinque, Rocco Aversa, Beniamino Di Martino, Antonio Esposito, Pawel Skrzypek, Mark Leznik:
An Event-Driven Multi Agent System for Scalable Traffic Optimization. AINA Workshops 2020: 1373-1382 - [c3]Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jörg Domaschka:
Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. MASCOTS 2020: 1-8 - [c2]Thang Le Duc, Mark Leznik, Jörg Domaschka, Per-Olov Östberg:
Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments. ICPE 2020: 218-229
2010 – 2019
- 2018
- [c1]Mark Leznik, Simon Volpert, Frank Griesinger, Daniel Seybold, Jörg Domaschka:
Done Yet? A Critical Introspective of the Cloud Management Toolbox. ICE/ITMC 2018: 1-8
Coauthor Index
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