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Simon Eismann
Simon Eismann
Universität Würzburg
Подтвержден адрес электронной почты в домене uni-wuerzburg.de - Главная страница
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Процитировано
Процитировано
Год
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research
J Kistowski, S Eismann, N Schmitt, A Bauer, J Grohmann, S Kounev
IEEE International Symposium on the Modelling, Analysis, and Simulation of …, 2018
137*2018
Serverless Applications: Why, When, and How?
S Eismann, J Scheuner, E van Eyk, M Schwinger, J Grohmann, N Herbst, ...
IEEE Software 38 (1), 32-39, 2020
1162020
A SPEC RG cloud group's vision on the performance challenges of FaaS cloud architectures
E van Eyk, A Iosup, CL Abad, J Grohmann, S Eismann
Companion of the 2018 ACM/SPEC International Conference on Performance …, 2018
962018
How is Performance Addressed in DevOps?
CP Bezemer, S Eismann, V Ferme, J Grohmann, R Heinrich, P Jamshidi, ...
Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019
792019
A review of serverless use cases and their characteristics
S Eismann, J Scheuner, E van Eyk, M Schwinger, J Grohmann, N Herbst, ...
arXiv preprint arXiv:2008.11110, 2020
682020
The state of serverless applications: Collection, characterization, and community consensus
S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ...
IEEE Transactions on Software Engineering 48 (10), 4152-4166, 2021
592021
Sizeless: Predicting the Optimal Size of Serverless Functions
S Eismann, L Bui, J Grohmann, CL Abad, N Herbst, S Kounev
arXiv preprint arXiv:2010.15162, 2020
552020
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms
E van Eyk, J Grohmann, S Eismann, A Bauer, L Versluis, L Toader, ...
IEEE Internet Computing 23 (6), 7 - 18, 2019
552019
Microservices: A Performance Tester’s Dream or Nightmare?
S Eismann, CP Bezemer, W Shang, D Okanović, A van Hoorn
Proceedings of the 2020 ACM/SPEC International Conference on Performance …, 2020
542020
Predicting the Costs of Serverless Workflows
S Eismann, J Grohmann, E van Eyk, N Herbst, S Kounev
Proceedings of the 2020 ACM/SPEC International Conference on Performance …, 2020
512020
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
S Herbold, A Trautsch, B Ledel, A Aghamohammadi, TA Ghaleb, ...
Empirical Software Engineering, 2021
33*2021
Beyond Microbenchmarks: The SPEC-RG Vision for A Comprehensive Serverless Benchmark
E van Eyk, J Scheuner, S Eismann, CL Abad, A Iosup
Companion of the ACM/SPEC International Conference on Performance …, 2020
252020
Toward a Definition for Serverless Computing
S Kounev, C Abad, IT Foster, N Herbst, A Iosup, S Al-Kiswany, ...
Serverless Computing (Dagstuhl Seminar 21201) 11 (5), 2021
212021
Modeling of parametric dependencies for performance prediction of component-based software systems at run-time
S Eismann, J Walter, J von Kistowski, S Kounev
2018 IEEE International Conference on Software Architecture (ICSA), 135-144, 2018
192018
Online Model Learning for Self-Aware Computing Infrastructures
S Spinner, J Grohmann, S Eismann, S Kounev
Journal of Systems and Software 147, 1-16, 2019
182019
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J Grohmann, S Eismann, A Bauer, S Spinner, J Blum, N Herbst, S Kounev
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (2), 1-31, 2021
142021
Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques
J Grohmann, S Eismann, S Elflein, JV Kistowski, S Kounev, M Mazkatli
2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019
142019
Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling
M Straesser, J Grohmann, J von Kistowski, S Eismann, A Bauer, ...
Proceedings of the 2022 ACM/SPEC on International Conference on Performance …, 2022
132022
Libra: A Benchmark for Time Series Forecasting Methods
A Bauer, M Züfle, S Eismann, J Grohmann, N Herbst, S Kounev
Proceedings of the ACM/SPEC International Conference on Performance …, 2021
132021
Black-box Learning of Parametric Dependencies for Performance Models
V Ackermann, J Grohmann, S Eismann, S Kounev
13th International Workshop on Models@run.time (MRT), 78-86, 2018
132018
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