Institut für Organisation und Management von Informationssystemen

Forschung

Interessen

  • Verteilte Systeme
  • Cloud Computing
  • Skalierbarkeit/Elastizität in Verteilten Systemen
  • NoSQL/NewSQL Datenbanken
  • Big Data/IoT Workloads
  • Benchmarking

Projekte

Wissenschaftlicher Werdegang

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

Master of Science, Universität Ulm
2014 - 2021 Wissenschaftlicher Mitarbeiter und Doktorand an der Universität Ulm, Institut für Organisation und Management von Informationssystemen
2021

Promotion bei Prof. Stefan Wesner, Institut für Organisation und Management von Informationssystemen der Universität Ulm

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

Publikationen

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, Dez. 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, Dez. 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, Okt. 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, Okt. 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. Okt. 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.

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