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Daniel Seybold

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2020 – today

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2024
[c27]
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Simon Volpert, Sascha Winkelhofer, Stefan Wesner, Daniel Seybold, Jörg Domaschka:
Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload. ICPE (Companion) 2024: 235-241
2023
[j5]
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Daniel Seybold, Jörg Domaschka:
Experiences from Building the Open Database Performance Ranking with benchANT. Softwaretechnik-Trends 43(1): 29-31 (2023)
[c26]
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Simon Volpert, Benjamin Erb, Georg Eisenhart, Daniel Seybold, Stefan Wesner, Jörg Domaschka:
A Methodology and Framework to Determine the Isolation Capabilities of Virtualisation Technologies. ICPE 2023: 149-160
[c25]
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Jörg Domaschka, Simon Volpert, Kevin Maier, Georg Eisenhart, Daniel Seybold:
Using eBPF for Database Workload Tracing: An Explorative Study. ICPE (Companion) 2023: 311-317
2022
[c24]
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Athanasios Tsitsipas, Georg Eisenhart, Daniel Seybold, Stefan Wesner:
Scalable Shapeoid Recognition on Multivariate Data Streams with Apache Beam. SAI (1) 2022: 695-714
[c23]
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André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi:
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper. ICPE (Companion) 2022: 13-14
[c22]
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Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka:
Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity. ICPE 2022: 89-96
2021
[b1]
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Daniel Seybold:
An automation-based approach for reproducible evaluations of distributed DBMS on elastic infrastructures. University of Ulm, Germany, 2021
[c21]
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Daniel Seybold, Jörg Domaschka:
Automated Benchmarking of Cloud-Hosted DBMS With benchANT (Poster). SSP 2021
[c20]
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Daniel Seybold, Jörg Domaschka:
Benchmarking-as-a-service for cloud-hosted DBMS. Middleware Demos/Posters 2021: 12-13
[c19]
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Jörg Domaschka, Mark Leznik, Daniel Seybold, Simon Eismann, Johannes Grohmann, Samuel Kounev:
Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper. ICPE (Companion) 2021: 175-178
2020
[c18]
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Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jörg Domaschka:
Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. MASCOTS 2020: 1-8
[c17]
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Daniel Seybold, Stefan Wesner, Jörg Domaschka:
King louie: reproducible availability benchmarking of cloud-hosted DBMS. SAC 2020: 144-153
[c16]
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Jörg Domaschka, Simon Volpert, Daniel Seybold:
Hathi: An MCDM-based Approach to Capacity Planning for Cloud-hosted DBMS. UCC 2020: 143-154

2010 – 2019

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2019
[j4]
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Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos, Yiannis Verginadis:
A survey on data storage and placement methodologies for Cloud-Big Data ecosystem. J. Big Data 6: 15 (2019)
[j3]
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Kyriakos Kritikos, Chrysostomos Zeginis, Joaquin Iranzo, Roman Sosa Gonzalez, Daniel Seybold, Frank Griesinger, Jörg Domaschka:
Multi-cloud provisioning of business processes. J. Cloud Comput. 8: 18 (2019)
[j2]
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Achilleas P. Achilleos, Kyriakos Kritikos, Alessandro Rossini, Georgia M. Kapitsaki, Jörg Domaschka, Michal Orzechowski, Daniel Seybold, Frank Griesinger, Nikolay Nikolov, Daniel Romero, George A. Papadopoulos:
The cloud application modelling and execution language. J. Cloud Comput. 8: 20 (2019)
[j1]
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Jörg Domaschka, Daniel Seybold:
Towards Understanding the Performance of Distributed Database Management Systems in Volatile Environments. Softwaretechnik-Trends 39(4): 11-13 (2019)
[c15]
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Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka:
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. CloudCom 2019: 54-61
[c14]
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Daniel Seybold, Moritz Keppler, Daniel Gründler, Jörg Domaschka:
Mowgli: Finding Your Way in the DBMS Jungle. ICPE 2019: 321-332
2018
[c13]
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  - conf/ccgrid/BaurSGMD18
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Daniel Baur, Daniel Seybold, Frank Griesinger, Hynek Masata, Jörg Domaschka:
A Provider-Agnostic Approach to Multi-cloud Orchestration Using a Constraint Language. CCGrid 2018: 173-182
[c12]
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Daniel Seybold, Christopher B. Hauser, Georg Eisenhart, Simon Volpert, Jörg Domaschka:
The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS. Euro-Par Workshops 2018: 93-105
[c11]
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Mark Leznik, Simon Volpert, Frank Griesinger, Daniel Seybold, Jörg Domaschka:
Done Yet? A Critical Introspective of the Cloud Management Toolbox. ICE/ITMC 2018: 1-8
2017
[c10]
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Daniel Seybold, Jörg Domaschka:
Is Distributed Database Evaluation Cloud-Ready? ADBIS (Short Papers and Workshops) 2017: 100-108
[c9]
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Jörg Domaschka, Frank Griesinger, Daniel Seybold, Stefan Wesner:
A Cloud-driven View on Business Process as a Service. CLOSER 2017: 739-746
[c8]
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Kyriakos Kritikos, Chrysostomos Zeginis, Frank Griesinger, Daniel Seybold, Jörg Domaschka:
A Cross-Layer BPaaS Adaptation Framework. FiCloud 2017: 241-248
[c7]
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Daniel Seybold:
Towards a framework for orchestrated distributed database evaluation in the cloud. Middleware Doctoral Symposium 2017: 13-14
[c6]
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Daniel Seybold, Christopher B. Hauser, Simon Volpert, Jörg Domaschka:
Gibbon: An Availability Evaluation Framework for Distributed Databases. OTM Conferences (2) 2017: 31-49
2016
[c5]
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Daniel Seybold, Nicolas Wagner, Benjamin Erb, Jörg Domaschka:
Is elasticity of scalable databases a Myth? IEEE BigData 2016: 2827-2836
[c4]
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Frank Griesinger, Daniel Seybold, Jörg Domaschka, Kyriakos Kritikos, Robert Woitsch:
A DMN-Based Approach for Dynamic Deployment Modelling of Cloud Applications. ESOCC Workshops 2016: 104-111
[c3]
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Daniel Seybold, Jörg Domaschka, Alessandro Rossini, Christopher B. Hauser, Frank Griesinger, Athanasios Tsitsipas:
Experiences of models@run-time with EMF and CDO. SLE 2016: 46-56
2015
[c2]
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Jörg Domaschka, Daniel Seybold, Frank Griesinger, Daniel Baur:
Axe: A Novel Approach for Generic, Flexible, and Comprehensive Monitoring and Adaptation of Cross-Cloud Applications. ESOCC Workshops 2015: 184-196
[c1]
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Daniel Baur, Daniel Seybold, Frank Griesinger, Athanasios Tsitsipas, Christopher B. Hauser, Jörg Domaschka:
Cloud Orchestration Features: Are Tools Fit for Purpose? UCC 2015: 95-101

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