Institute of Information Resource Management

Research

Interests

  • Distributed Systems
  • Cloud Computing
  • Scalability/Elasticity in Distributed Systems
  • NoSQL/NewSQL Databases
  • Big Data/IoT Workloads
  • Benchmarking 

Projects

Scientific career

2006 Abitur
2007 - 2011  Bachelor of Science, Ulm University
2011 - 2014

Master of Science, Ulm University
2014 - 2021 Researcher and PHD student at Ulm University, Institute of Information Resource Management
2021

PhD at Prof. Stefan Wesner, Institute of Information Resource Management, Ulm University

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

Publications

2022

29.
A. Tsitsipas, G. Eisenhart, D. Seybold and S. Wesner, "Scalable Shapeoid Recognition on Multivariate Data Streams with Apache Beam", Computing Conference 2022 - accepted, London, Jul. 2022.

2020

28.
J. Domaschka, S. Volpert and D. Seybold, "Hathi: An MCDM-based Approach to Capacity Planning for Cloud-hosted DBMS" in International Conference on Utility and Cloud Computing (UCC), IEE/ACM, Dec. 2020.
27.
J. Grohmann, D. Seybold, S. Eismann, M. Leznik, S. Kounev and J. Domaschka, "Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS" in International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), IEEE, Nov. 2020.
26.
D. Seybold, S. Volpert and J. Domaschka, "Mowgli", SPEC Research Group, Nov. 2020. https://research.spec.org/tools/overview/mowgli.html.
25.
D. Seybold, S. Wesner and J. Domaschka, "King Louie: Reproducible Availability Benchmarking of Cloud-hosted DBMS" in The 35th ACM/SIGAPP Symposium on Applied Computing, ACM, 2020.
DOI:10.1145/3341105.3373968
ISBN:978-1-4503-6866-7/20/03

2019

24.
D. Seybold, S. Volpert, S. Wesner, A. Bauer, N. Herbst and J. Domaschka, "Kaa: Evaluating Elasticity of Cloud-hosted DBMS" in International Conference on Cloud Computing Technology and Science, 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Sydney, IEEE, Dec. 2019.
23.
J. Domaschka and D. Seybold, "Towards Understanding the Performance of Distributed Database Management Systems in Volatile Environments" in Symposium on Software Performance, Würzburg, GI, Nov. 2019.
22.
D. Seybold, M. Keppler, D. Gründler and J. Domaschka, "Mowgli: Finding Your Way in the DBMS Jungle", International Conference on Performance Engineering (ICPE), Apr. 2019. ACM.
DOI:10.1145/3297663.3310303
21.
S. Mazumdar, D. Seybold, K. Kritikos and Y. Verginadis, "A Survey on Data Storage and PlacementMethodologies for Cloud-Big Data Ecosystem", Journal of Big Data, Feb. 2019. Springer.
DOI:10.1186/s40537-019-0178-3
20.
K. Kritikos, C. Zeginis, J. Iranzo, R. S. Gonzalez, D. Seybold, F. Griesinger and J. Domaschka, "Multi-Cloud Provisioning of Business Processes", Journal of Cloud Computing, 2019. Springer.
19.
A. P. Achilleos, K. Kritikos, A. Rossini, G. M. Kapitsaki, J. Domaschka, M. Orzechowski, D. Seybold, N. Nikolov, D. Romero and G. A. Papadopoulos, "The Cloud Application Modelling and Execution Language", Journal of Cloud Computing, 2019. Springer.

2018

18.
D. Seybold, C. B. Hauser, G. Eisenhart, S. Volpert and J. Domaschka, "The Impact of the Storage Tier: A Baseline Performance Analysis of containerized DBMS", Workshop on Container-based Systems for Big Data, Distributed and Parallel computing @ Euro-Par 2018, Oct. 2018.
17.
M. Leznik, S. Volpert, F. Griesinger, D. Seybold and J. Domaschka, "Done Yet? A Critical Introspective of the Cloud Management Toolbox", 24th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Jun. 2018.
ISBN:978-1-5386-1468-6
16.
K. Kritikos, C. Zeginis, J. Iranzo, R. Sosa, D. Seybold, F. Griesinger and J. Domaschka, "Multi-Cloud Provisioning of Business Processes", Cluster Computing, Apr. 2018.
15.
D. Baur, D. Seybold, F. Griesinger, H. Masata and J. Domaschka, "A Provider-agnostic Approach to Multi-cloud Orchestration using a Constraint Language", CCGRID, 2018.

2017

14.
D. Seybold, "Towards a Framework for Orchestrated Distributed Database Evaluation in the Cloud", ACM/IFIP/USENIX Middleware, Oct. 2017.
DOI:10.1145/3152688.3152693
13.
D. Seybold, C. B. Hauser, S. Volpert and J. Domaschka, "Gibbon: An Availability Evaluation Framework For Distributed Databases", Cloud and Trusted Computing: 7th International Symposium on Secure Virtual Infrastructures (C&TC), Sep. 2017.
DOI:10.1007/978-3-319-69459-7_3
12.
K. Kritikos, C. Zeginis, F. Griesinger, D. Seybold and J. Domaschka, "A Cross-Layer BPaaS Adaptation Framework", International Conference on Future Internet of Things and Cloud (FiCloud), Jun. 2017.
11.
D. Seybold and J. Domaschka, "Is Distributed Database Evaluation Cloud-ready?", 21st European Conference on Advances in Databases and Information Systems (ADBIS), Jun. 2017.
DOI:10.1007/978-3-319-67162-8_12
10.
F. Griesinger, D. Seybold and J. Domaschka, "CloudSocket: Business Process as a Service", CLOSER, Eds. Apr. 2017.
9.
J. Domaschka, F. Griesinger, D. Seybold and S. Wesner, "A Cloud-driven View on Business Process as a Service", 7th International Conference on Cloud Computing and Services Science (CLOSER), Apr. 2017.

2016

8.
D. Seybold, N. Wagner, B. Erb and J. Domaschka, "Is Elasticity of Scalable Databases a Myth?" in 4th Workshop on Scalable Cloud Data Management, Nov. 2016.
7.
[en] D. Seybold, "Towards Cloud-centric Distributed Database Evaluation", 2nd Cloud Forward , Eds. Oct. 2016.
6.
F. Griesinger, D. Seybold, J. Domaschka, K. Kritikos and R. Woitsch, "A DMN-based Approach for Dynamic Deployment Modelling of Cloud Applications" in Service Oriented and Cloud Computing, ESOCC - CloudWays workshop, Wien, 05.09.2016, Sep. 2016.
5.
D. Seybold, R. Woitsch, J. Domaschka and S. Wesner, "BPaaS Execution in CloudSocket", Springer CCIS, Sep. 2016.

Contact

Office Hours

Please make an appointment with me by Email.