Daniel Seybold

According to our database, Daniel Seybold authored at least 33 papers between 2015 and 2024.

Collaborative distances:

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

2024

Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload.

Simon Volpert, Sascha Winkelhofer, Stefan Wesner, Daniel Seybold, Jörg Domaschka

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023

Experiences from Building the Open Database Performance Ranking with benchANT.

Daniel Seybold, Jörg Domaschka

Softwaretechnik-Trends, February, 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

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

Using eBPF for Database Workload Tracing: An Explorative Study.

Jörg Domaschka, Simon Volpert, Kevin Maier, Georg Eisenhart, Daniel Seybold

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

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

Scalable Shapeoid Recognition on Multivariate Data Streams with Apache Beam.

Athanasios Tsitsipas, Georg Eisenhart, Daniel Seybold, Stefan Wesner

Proceedings of the Intelligent Computing, 2022

2021

An automation-based approach for reproducible evaluations of distributed DBMS on elastic infrastructures.

Daniel Seybold

PhD thesis, 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

Benchmarking-as-a-service for cloud-hosted DBMS.

Daniel Seybold, Jörg Domaschka

Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021

Automated Benchmarking of Cloud-Hosted DBMS With benchANT (Poster).

Daniel Seybold, Jörg Domaschka

Proceedings of the Short Paper Proceedings of Symposium on Software Performance 2021, 2021

2020

Hathi: An MCDM-based Approach to Capacity Planning for Cloud-hosted DBMS.

Jörg Domaschka, Simon Volpert, Daniel Seybold

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

King louie: reproducible availability benchmarking of cloud-hosted DBMS.

Daniel Seybold, Stefan Wesner, Jörg Domaschka

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 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

2019

Towards Understanding the Performance of Distributed Database Management Systems in Volatile Environments.

Jörg Domaschka, Daniel Seybold

Softwaretechnik-Trends, 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

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

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

Mowgli: Finding Your Way in the DBMS Jungle.

Daniel Seybold, Moritz Keppler, Daniel Gründler, Jörg Domaschka

Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS.

Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

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

The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS.

Daniel Seybold, Christopher B. Hauser, Georg Eisenhart, Simon Volpert, Jörg Domaschka

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

A Provider-Agnostic Approach to Multi-cloud Orchestration Using a Constraint Language.

Daniel Baur, Daniel Seybold, Frank Griesinger, Hynek Masata, Jörg Domaschka

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

Gibbon: An Availability Evaluation Framework for Distributed Databases.

Daniel Seybold, Christopher B. Hauser, Simon Volpert, Jörg Domaschka

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

Towards a framework for orchestrated distributed database evaluation in the cloud.

Daniel Seybold

Proceedings of the 18th Doctoral Symposium of the 18th International Middleware Conference, Las Vegas, NV, USA, December 11, 2017

A Cross-Layer BPaaS Adaptation Framework.

Kyriakos Kritikos, Chrysostomos Zeginis, Frank Griesinger, Daniel Seybold, Jörg Domaschka

Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017

A Cloud-driven View on Business Process as a Service.

Jörg Domaschka, Frank Griesinger, Daniel Seybold, Stefan Wesner

Proceedings of the CLOSER 2017, 2017

Is Distributed Database Evaluation Cloud-Ready?

Daniel Seybold, Jörg Domaschka

Proceedings of the New Trends in Databases and Information Systems, 2017

2016

Experiences of models@run-time with EMF and CDO.

Daniel Seybold, Jörg Domaschka, Alessandro Rossini, Christopher B. Hauser, Frank Griesinger, Athanasios Tsitsipas

Proceedings of the 2016 ACM SIGPLAN International Conference on Software Language Engineering, Amsterdam, The Netherlands, October 31, 2016

A DMN-Based Approach for Dynamic Deployment Modelling of Cloud Applications.

Frank Griesinger, Daniel Seybold, Jörg Domaschka, Kyriakos Kritikos, Robert Woitsch

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2016

Is elasticity of scalable databases a Myth?

Daniel Seybold, Nicolas Wagner, Benjamin Erb, Jörg Domaschka

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Cloud Orchestration Features: Are Tools Fit for Purpose?

Daniel Baur, Daniel Seybold, Frank Griesinger, Athanasios Tsitsipas, Christopher B. Hauser, Jörg Domaschka

Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Axe: A Novel Approach for Generic, Flexible, and Comprehensive Monitoring and Adaptation of Cross-Cloud Applications.

Jörg Domaschka, Daniel Seybold, Frank Griesinger, Daniel Baur

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2015