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

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

Master of Science, Ulm University

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

Publications

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.
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.
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.
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.
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 , Dec. 2015.
2.
J. Domaschka, D. Seybold, F. Griesinger and D. Baur, "Axe: A Novel Approach for Generic, Flexible, and Comprehensive Monitoring and Adaptation of Cross-Cloud Applications" in Proceedings of the Second Workshop on Seamless Adaptive Multi-cloud Management of Service-based Applications , Taormina, Italy , Aug. 2015.
1.
J. Domaschka, D. Baur, D. Seybold and F. Griesinger, "Cloudiator: A Cross-Cloud, Multi-Tenant Deployment and Runtime Engine" in Proceedings of the Symposium on Service-oriented Computing 2015 , SummerSOC , Heraklion, Crete , 28 June-03July 2015 , Christos Nikolaou, Frank Leymann, Eds. Jun. 2015.

Thesis Topics

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
July 2016
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.150/files/theses/2016/seybold_tsdb-abstraction-layer.pdf
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
October 2015
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.150/files/theses/2015/seybold-be_extension.pdf
2.
Seybold , Daniel
Monitoring in the Cloud: Survey on possible datastores
Bachelor Thesis
Bachelor Thesis
Institut für Organisation und Management von Informationssystemen, Universität Ulm
July 2015
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.150/files/theses/2015/seybold_kairosextension.pdf
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
July 2015
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.150/files/theses/2015/seybold_querysurvey.pdf

Contact

Office Hours

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