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 - 2011Bachelor of Science, Universität Ulm
2011 - 2014

Master of Science, Universität Ulm

2014 - heuteWissenschaftlicher Mitarbeiter und Doktorand an der Universität Ulm, Institut für Organisation und Management von Informationssystemen

Publikationen

2020

27.
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.
26.
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.
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.
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
11.
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.
10.
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.
9.
F. Griesinger, D. Seybold and J. Domaschka, "CloudSocket: Business Process as a Service", CLOSER, Eds. 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.
4.
D. Seybold, J. Domaschka, A. Rossini, C. B. Hauser, F. Griesinger and A. Tsitsipas, "Experiences of models@run-time with EMF and CDO" , ACM Digital Library, Aug. 2016.

2015

3.
D. Baur, D. Seybold, F. Griesinger, A. Tsitsipas, C. B. Hauser and J. Domaschka, "Cloud Orchestration Features: Are Tools Fit for Purpose?" in IEEE 8th International Conference on Utility and Cloud Computing, International Conference on Utility and Cloud , Limassol, Cyprus, December 07-10, 2015, Dez.2015.

Abschlussarbeiten

4.
Seybold, Daniel
Design and Implementation of a Time Series Database Abstraction Layer
Master Thesis
Master Thesis
Institut für Organisation und Management von Informationssystemen, Universität Ulm
Juli 2016
3.
Seybold, Daniel
Benchmarking of Time Series Databases by extending the Yahoo Cloud Serving Benchmark
Master Thesis
Master Thesis
Institut für Organisation und Management von Informationssystemen, Universität Ulm
Oktober 2015
2.
Seybold, Daniel
Monitoring in the Cloud: Survey on possible datastores
Bachelor Thesis
Bachelor Thesis
Institut für Organisation und Management von Informationssystemen, Universität Ulm
Juli 2015
1.
Seybold, Daniel
Time Series Databases: Survey on NoSQL query language capabilities
Bachelor Thesis
Bachelor Thesis
Institut für Organisation und Management von Informationssystemen, Universität Ulm
Juli 2015

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