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Daniel Seybold
Daniel Seybold
benchANT
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Title
Cited by
Cited by
Year
A survey on data storage and placement methodologies for cloud-big data ecosystem
S Mazumdar, D Seybold, K Kritikos, Y Verginadis
Journal of Big Data 6 (1), 1-37, 2019
1322019
The cloud application modelling and execution language
AP Achilleos, K Kritikos, A Rossini, GM Kapitsaki, J Domaschka, ...
Journal of Cloud computing 8, 1-25, 2019
482019
Cloud orchestration features: Are tools fit for purpose?
D Baur, D Seybold, F Griesinger, A Tsitsipas, CB Hauser, J Domaschka
2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing …, 2015
482015
The cloud application modelling and execution language (CAMEL)
A Rossini, K Kritikos, N Nikolov, J Domaschka, F Griesinger, D Seybold, ...
Universität Ulm, 2017
262017
Is distributed database evaluation cloud-ready?
D Seybold, J Domaschka
New Trends in Databases and Information Systems: ADBIS 2017 Short Papers and …, 2017
242017
A provider-agnostic approach to multi-cloud orchestration using a constraint language
D Baur, D Seybold, F Griesinger, H Masata, J Domaschka
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018
232018
Multi-cloud provisioning of business processes
K Kritikos, C Zeginis, J Iranzo, RS Gonzalez, D Seybold, F Griesinger, ...
Journal of Cloud Computing 8, 1-29, 2019
222019
Mowgli: Finding your way in the DBMS jungle
D Seybold, M Keppler, D Gründler, J Domaschka
Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019
212019
Cloudiator: a cross-cloud, multi-tenant deployment and runtime engine
J Domaschka, D Baur, D Seybold, F Griesinger
9th Symposium and Summer School on Service-Oriented Computing, 2015
192015
Is elasticity of scalable databases a myth?
D Seybold, N Wagner, B Erb, J Domaschka
2016 IEEE International Conference on Big Data (Big Data), 2827-2836, 2016
182016
A cross-layer bpaas adaptation framework
K Kritikos, C Zeginis, F Griesinger, D Seybold, J Domaschka
2017 IEEE 5th International Conference on Future Internet of Things and …, 2017
162017
A cloud-driven view on business process as a service
J Domaschka, F Griesinger, D Seybold, S Wesner
International Conference on Cloud Computing and Services Science 2, 767-774, 2017
162017
Experiences of models@ run-time with EMF and CDO
D Seybold, J Domaschka, A Rossini, CB Hauser, F Griesinger, A Tsitsipas
Proceedings of the 2016 ACM SIGPLAN International Conference on Software …, 2016
152016
Baloo: Measuring and modeling the performance configurations of distributed dbms
J Grohmann, D Seybold, S Eismann, M Leznik, S Kounev, J Domaschka
2020 28th International Symposium on Modeling, Analysis, and Simulation of …, 2020
122020
Kaa: Evaluating elasticity of cloud-hosted dbms
D Seybold, S Volpert, S Wesner, A Bauer, N Herbst, J Domaschka
2019 IEEE International Conference on Cloud Computing Technology and Science …, 2019
122019
The impact of the storage tier: A baseline performance analysis of containerized dbms
D Seybold, CB Hauser, G Eisenhart, S Volpert, J Domaschka
Euro-Par 2018: Parallel Processing Workshops: Euro-Par 2018 International …, 2019
112019
Axe: A novel approach for generic, flexible, and comprehensive monitoring and adaptation of cross-cloud applications
J Domaschka, D Seybold, F Griesinger, D Baur
Advances in Service-Oriented and Cloud Computing: Workshops of ESOCC 2015 …, 2016
112016
Gibbon: An availability evaluation framework for distributed databases
D Seybold, CB Hauser, S Volpert, J Domaschka
On the Move to Meaningful Internet Systems. OTM 2017 Conferences …, 2017
102017
King louie: reproducible availability benchmarking of cloud-hosted DBMS
D Seybold, S Wesner, J Domaschka
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 144-153, 2020
92020
Hathi: an MCDM-based approach to capacity planning for cloud-hosted DBMS
J Domaschka, S Volpert, D Seybold
2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020
72020
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