Mark Leznik

According to our database, Mark Leznik authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comprehensive Exploration of Synthetic Data Generation: A Survey.

André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster

CoRR, 2024

2023

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field.

André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster

CoRR, 2023

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs.

André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

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., March, 2022

Change Point Detection for MongoDB Time Series Performance Regression.

Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity.

Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper.

André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

2021

Multivariate Time Series Synthesis Using Generative Adversarial Networks.

Mark Leznik, Patrick Michalsky, Peter Willis, Benjamin Schanzel, Per-Olov Östberg, Jörg Domaschka

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper.

Jörg Domaschka, Mark Leznik, Daniel Seybold, Simon Eismann, Johannes Grohmann, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

2020

Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments.

Thang Le Duc, Mark Leznik, Jörg Domaschka, Per-Olov Östberg

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS.

Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jörg Domaschka

Proceedings of the 28th International Symposium on Modeling, 2020

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, Pawel Skrzypek, Mark Leznik

Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

2018

Done Yet? A Critical Introspective of the Cloud Management Toolbox.

Mark Leznik, Simon Volpert, Frank Griesinger, Daniel Seybold, Jörg Domaschka

Proceedings of the 2018 IEEE International Conference on Engineering, 2018