Axe: A Novel Approach for Generic, Flexible, and Comprehensive Monitoring and Adaptation of Cross-Cloud Applications. - Jörg Domaschka; Daniel Seybold; Frank Griesinger; Daniel Baur (ESOCC Workshops, 2015)

Cloud Orchestration Features: Are Tools Fit for Purpose? - Daniel Baur; Daniel Seybold; Frank Griesinger; Athanasios Tsitsipas; Christopher B. Hauser; Jörg Domaschka (UCC, 2015)

Is elasticity of scalable databases a Myth? - Daniel Seybold; Nicolas Wagner; Benjamin Erb; Jörg Domaschka (IEEE BigData, 2016)

A DMN-Based Approach for Dynamic Deployment Modelling of Cloud Applications. - Frank Griesinger; Daniel Seybold; Jörg Domaschka; Kyriakos Kritikos; Robert Woitsch (ESOCC Workshops, 2016)

Experiences of models@run-time with EMF and CDO. - Daniel Seybold; Jörg Domaschka; Alessandro Rossini; Christopher B. Hauser; Frank Griesinger; Athanasios Tsitsipas (SLE, 2016)

Is Distributed Database Evaluation Cloud-Ready? - Daniel Seybold; Jörg Domaschka (ADBIS (Short Papers and Workshops), 2017)

A Cloud-driven View on Business Process as a Service. - Jörg Domaschka; Frank Griesinger; Daniel Seybold; Stefan Wesner (CLOSER, 2017)

A Cross-Layer BPaaS Adaptation Framework. - Kyriakos Kritikos; Chrysostomos Zeginis; Frank Griesinger; Daniel Seybold; Jörg Domaschka (FiCloud, 2017)

Towards a framework for orchestrated distributed database evaluation in the cloud. - Daniel Seybold (Middleware Doctoral Symposium, 2017)

Gibbon: An Availability Evaluation Framework for Distributed Databases. - Daniel Seybold; Christopher B. Hauser; Simon Volpert; Jörg Domaschka (OTM Conferences (2), 2017)

A Provider-Agnostic Approach to Multi-cloud Orchestration Using a Constraint Language. - Daniel Baur; Daniel Seybold; Frank Griesinger; Hynek Masata; Jörg Domaschka (CCGrid, 2018)

The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS. - Daniel Seybold; Christopher B. Hauser; Georg Eisenhart; Simon Volpert; Jörg Domaschka (Euro-Par Workshops, 2018)

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

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. - Daniel Seybold; Simon Volpert; Stefan Wesner; André Bauer 001; Nikolas Herbst; Jörg Domaschka (CloudCom, 2019)

Mowgli: Finding Your Way in the DBMS Jungle. - Daniel Seybold; Moritz Keppler; Daniel Gründler; Jörg Domaschka (ICPE, 2019)

A survey on data storage and placement methodologies for Cloud-Big Data ecosystem. - Somnath Mazumdar; Daniel Seybold; Kyriakos Kritikos; Yiannis Verginadis (J. Big Data, 2019)

The cloud application modelling and execution language. - Achilleas P. Achilleos; Kyriakos Kritikos; Alessandro Rossini; Georgia M. Kapitsaki; Jörg Domaschka; Michal Orzechowski; Daniel Seybold; Frank Griesinger; Nikolay Nikolov; Daniel Romero; George A. Papadopoulos (J. Cloud Comput., 2019)

Multi-cloud provisioning of business processes. - Kyriakos Kritikos; Chrysostomos Zeginis; Joaquin Iranzo; Roman Sosa Gonzalez; Daniel Seybold; Frank Griesinger; Jörg Domaschka (J. Cloud Comput., 2019)

Towards Understanding the Performance of Distributed Database Management Systems in Volatile Environments. - Jörg Domaschka; Daniel Seybold (Softwaretechnik-Trends, 2019)

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

King louie: reproducible availability benchmarking of cloud-hosted DBMS. - Daniel Seybold; Stefan Wesner; Jörg Domaschka (SAC, 2020)

Hathi: An MCDM-based Approach to Capacity Planning for Cloud-hosted DBMS. - Jörg Domaschka; Simon Volpert; Daniel Seybold (UCC, 2020)

Automated Benchmarking of Cloud-Hosted DBMS With benchANT (Poster). - Daniel Seybold; Jörg Domaschka (SSP, 2021)

Benchmarking-as-a-service for cloud-hosted DBMS. - Daniel Seybold; Jörg Domaschka (Middleware Demos/Posters, 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 (ICPE (Companion), 2021)

An automation-based approach for reproducible evaluations of distributed DBMS on elastic infrastructures. - Daniel Seybold (2021)

Scalable Shapeoid Recognition on Multivariate Data Streams with Apache Beam. - Athanasios Tsitsipas; Georg Eisenhart; Daniel Seybold; Stefan Wesner (SAI (1), 2022)

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)

Using eBPF for Database Workload Tracing: An Explorative Study. - Jörg Domaschka; Simon Volpert; Kevin Maier; Georg Eisenhart; Daniel Seybold (ICPE (Companion), 2023)

A Methodology and Framework to Determine the Isolation Capabilities of Virtualisation Technologies. - Simon Volpert; Benjamin Erb; Georg Eisenhart; Daniel Seybold; Stefan Wesner; Jörg Domaschka (ICPE, 2023)

Experiences from Building the Open Database Performance Ranking with benchANT. - Daniel Seybold; Jörg Domaschka (Softwaretechnik-Trends, 2023)

Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload. - Simon Volpert; Sascha Winkelhofer; Stefan Wesner; Daniel Seybold; Jörg Domaschka (ICPE (Companion), 2024)

The Hidden Costs of Shared CPU Resources: A Closer Look at Cgroups and QoS. - Simon Volpert; Sascha Winkelhofer; Daniel Seybold; Jörg Domaschka; Stefan Wesner (Softwaretechnik-Trends, 2024)