Mark Leznik

Measuring and Modeling the Performance Configurations of Distributed Database Systems

Johannes Grohmann, Daniel Seybold, Simon Eismann, 2020 .

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

Per-Olov Östberg, Mark Leznik, Jörg Domaschka, 2020, ICPE.

Done Yet? A Critical Introspective of the Cloud Management Toolbox

Jörg Domaschka, Daniel Seybold, Mark Leznik, 2018, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

Unified Container Environments for Scientific Cluster Scenarios

Stefan Wesner, Mark Leznik, Jörg Domaschka, 2019 .

Optimization of Demanding Scenarios in CMS and Image Quality Criteria

Mark Leznik, Anestis Terzis, 2016 .

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS

Jörg Domaschka, Johannes Grohmann, Daniel Seybold, 2020, 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS).

An Event-Driven Multi Agent System for Scalable Traffic Optimization

Rocco Aversa, Beniamino Di Martino, Geir Horn, 2020, AINA Workshops.

Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds

Theo Lynn, Per-Olov Östberg, Mark Leznik, 2020 .

RECAP Data Acquisition and Analytics Methodology

Mark Leznik, Jörg Domaschka, Thang Le Duc, 2020, Managing Distributed Cloud Applications and Infrastructure.

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

Jörg Domaschka, Samuel Kounev, Johannes Grohmann, 2021, ICPE.

Multivariate Time Series Synthesis Using Generative Adversarial Networks

Jörg Domaschka, Per-Olov Östberg, Mark Leznik, 2021, ICPE.