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Nikolas Herbst
Nikolas Roman Herbst
Person information
- affiliation (PhD 2018): Julius Maximilians University Würzburg, Department of Computer Science, Germany
- affiliation (former): Karlsruhe Institute of Technology, Institute for Program Structures and Data Organisation, Germany
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2020 – today
- 2024
- [j17]Sacheendra Talluri, Nikolas Herbst, Cristina L. Abad, Tiziano De Matteis
, Alexandru Iosup:
ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing. Future Gener. Comput. Syst. 153: 84-96 (2024) - [c39]Dragi Kimovski
The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). ICPE (Companion) 2024: 163-164 - [c38]Ivo Rohwer
Resource Demand Profiling of Monolithic Workflows. ICPE (Companion) 2024: 222-225 - 2023
- [j16]Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian T. Foster, Prashant J. Shenoy, Omer F. Rana
Serverless Computing: What It Is, and What It Is Not? Commun. ACM 66(9): 80-92 (2023) - [c37]Martin Straesser, André Bauer
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105 - [c36]Sacheendra Talluri
A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing. CF 2023: 164-175 - [c35]Klervie Toczé
HotCloudPerf'23 Workshop Chairs' Welcome. ICPE (Companion) 2023: 257-258 - [d1]Martin Straesser
An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). Zenodo, 2023 - [i6]André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster:
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. CoRR abs/2309.15871 (2023) - 2022
- [j15]Simon Eismann
The State of Serverless Applications: Collection, Characterization, and Community Consensus. IEEE Trans. Software Eng. 48(10): 4152-4166 (2022) - [e2]Dan Feng, Steffen Becker, Nikolas Herbst, Philipp Leitner:
ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022. ACM 2022, ISBN 978-1-4503-9143-6 [contents] - [e1]Dan Feng, Steffen Becker, Nikolas Herbst, Philipp Leitner, Arthur Kang:
ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022, Companion Volume. ACM 2022, ISBN 978-1-4503-9159-7 [contents] - 2021
- [j14]Simon Eismann
Serverless Applications: Why, When, and How? IEEE Softw. 38(1): 32-39 (2021) - [j13]Johannes Grohmann, Simon Eismann, André Bauer
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. ACM Trans. Auton. Adapt. Syst. 15(2): 6:1-6:31 (2021) - [j12]Alessandro Vittorio Papadopoulos
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. IEEE Trans. Software Eng. 47(8): 1528-1543 (2021) - [c34]Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad
Sizeless: predicting the optimal size of serverless functions. Middleware 2021: 248-259 - [c33]Johannes Grohmann, Martin Straesser
SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. ICPE 2021: 165-176 - [c32]André Bauer
Libra: A Benchmark for Time Series Forecasting Methods. ICPE 2021: 189-200 - [c31]Cristina L. Abad, Nikolas Herbst, Alexandru Uta, Alexandru Iosup:
The Fourth Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'21): Benchmarking in the Cloud. ICPE 2021: 279-280 - [i5]Cristina L. Abad, Ian T. Foster, Nikolas Herbst, Alexandru Iosup:
Serverless Computing (Dagstuhl Seminar 21201). Dagstuhl Reports 11(4): 34-93 (2021) - 2020
- [j11]Johannes Grohmann
A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. Comput. 9(1): 10 (2020) - [j10]André Bauer
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108(7): 1068-1093 (2020) - [j9]Gunnar Brataas
Agile Scalability Engineering: The ScrumScale Method. IEEE Softw. 37(4): 77-84 (2020) - [c30]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. ICDE 2020: 1902-1905 - [c29]Alessandro Vittorio Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim von Kistowski, Ahmed Ali-Eldin, Cristina L. Abad, José Nelson Amaral, Petr Tuma
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. SE 2020: 93-94 - [c28]André Bauer
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. ICPE 2020: 48-55 - [c27]Simon Eismann, Johannes Grohmann, Erwin Van Eyk, Nikolas Herbst, Samuel Kounev:
Predicting the Costs of Serverless Workflows. ICPE 2020: 265-276 - [c26]Alexandru Uta, Dmitry Duplyakin, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup:
3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability. ICPE 2020: 301-302 - [i4]Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup:
A Review of Serverless Use Cases and their Characteristics. CoRR abs/2008.11110 (2020) - [i3]Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev:
Sizeless: Predicting the optimal size of serverless functions. CoRR abs/2010.15162 (2020)
2010 – 2019
- 2019
- [j8]Erwin Van Eyk, Alexandru Iosup
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. IEEE Internet Comput. 23(6): 7-18 (2019) - [j7]Nikolas Herbst, Ralf H. Reussner:
10th Symposium on Software Performance (SSP) Würzburg, November 5-6, 2019. Softwaretechnik-Trends 39(4): 2-4 (2019) - [j6]André Bauer
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. IEEE Trans. Parallel Distributed Syst. 30(4): 800-813 (2019) - [c25]Daniel Seybold, Simon Volpert, Stefan Wesner
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. CloudCom 2019: 54-61 - [c24]Marwin Züfle, André Bauer
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC 2019: 167-176 - [c23]André Bauer
Chamulteon: Coordinated Auto-Scaling of Micro-Services. ICDCS 2019: 2015-2025 - [c22]André Bauer
Systematic Search for Optimal Resource Configurations of Distributed Applications. FAS*W@SASO/ICAC 2019: 120-125 - [c21]Johannes Grohmann, Simon Eismann, André Bauer
Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC 2019: 134-139 - [c20]André Bauer
Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC 2019: 255-256 - 2018
- [b1]Nikolas Roman Herbst:
Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments. Julius Maximilians University Würzburg, Germany, 2018 - [j5]Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer
An Experimental Performance Evaluation of Autoscalers for Complex Workflows. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(2): 8:1-8:32 (2018) - [j4]Nikolas Herbst
Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(4): 19:1-19:36 (2018) - [c19]Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev:
Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper. CLOSER 2018: 473-480 - [c18]André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
On the Value of Service Demand Estimation for Auto-scaling. MMB 2018: 142-156 - [c17]Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Cloud Researchers. UCC Companion 2018: 11-12 - [c16]Veronika Lesch, André Bauer
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. ICPE 2018: 4-15 - [p3]Nikolas Herbst:
Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments. Ausgezeichnete Informatikdissertationen 2018: 111-120 - 2017
- [j3]Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev, Henning Groenda, Christian Stier, Sebastian Lehrig:
Modeling and Extracting Load Intensity Profiles. ACM Trans. Auton. Adapt. Syst. 11(4): 23:1-23:28 (2017) - [c15]Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev:
Self-Tuning Resource Demand Estimation. ICAC 2017: 21-26 - [c14]Gunnar Brataas
Scalability Analysis of Cloud Software Services. ICAC 2017: 285-292 - [c13]Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, Alessandro Vittorio Papadopoulos
An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows. ICPE 2017: 75-86 - [c12]André Bauer
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper. ICPE 2017: 425-428 - [p2]Nikolas Herbst, Steffen Becker, Samuel Kounev, Heiko Koziolek, Martina Maggio
Metrics and Benchmarks for Self-aware Computing Systems. Self-Aware Computing Systems 2017: 437-464 - [p1]Nikolas Herbst, Ayman A. Amin
Online Workload Forecasting. Self-Aware Computing Systems 2017: 529-553 - 2016
- [c11]Ahmed Ali-Eldin, Alexey Ilyushkin, Bogdan Ghit, Nikolas Roman Herbst, Alessandro Papadopoulos
Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms. ICPE 2016: 131-132 - [i2]Nikolas Herbst, Rouven Krebs, Giorgos Oikonomou, George Kousiouris, Athanasia Evangelinou, Alexandru Iosup
Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics. CoRR abs/1604.03470 (2016) - 2015
- [j2]Nikolas Herbst:
ICSE 2015 SIGSOFT CAPS Report. ACM SIGSOFT Softw. Eng. Notes 40(4): 32 (2015) - [c10]Simon Spinner, Nikolas Herbst, Samuel Kounev, Xiaoyun Zhu, Lei Lu, Mustafa Uysal
Proactive Memory Scaling of Virtualized Applications. CLOUD 2015: 277-284 - [c9]Nikolas Roman Herbst, Samuel Kounev, Andreas Weber, Henning Groenda:
BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments. SEAMS@ICSE 2015: 46-56 - [c8]Jóakim von Kistowski, Nikolas Herbst, Daniel Zoller, Samuel Kounev, Andreas Hotho:
Modeling and Extracting Load Intensity Profiles. SEAMS@ICSE 2015: 109-119 - [i1]Andreas Brunnert, André van Hoorn, Felix Willnecker, Alexandru Danciu, Wilhelm Hasselbring, Christoph Heger, Nikolas Herbst, Pooyan Jamshidi
Performance-oriented DevOps: A Research Agenda. CoRR abs/1508.04752 (2015) - 2014
- [j1]Nikolas Roman Herbst, Nikolaus Huber, Samuel Kounev, Erich Amrehn:
Self-adaptive workload classification and forecasting for proactive resource provisioning. Concurr. Comput. Pract. Exp. 26(12): 2053-2078 (2014) - [c7]Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev:
Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors. SoSP 2014: 131-140 - [c6]Jóakim von Kistowski, Nikolas Roman Herbst, Samuel Kounev:
Modeling variations in load intensity over time. LT@ICPE 2014: 1-4 - [c5]Rouven Krebs, Philipp Schneider, Nikolas Herbst:
Optimization Method for Request Admission Control to Guarantee Performance Isolation. HotTopiCS@ICPE 2014: 4:1-4:8 - [c4]Andreas Weber, Nikolas Herbst, Henning Groenda, Samuel Kounev:
Towards a Resource Elasticity Benchmark for Cloud Environments. HotTopiCS@ICPE 2014: 5:1-5:8 - [c3]Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev:
LIMBO: a tool for modeling variable load intensities. ICPE 2014: 225-226 - 2013
- [c2]Nikolas Roman Herbst, Samuel Kounev, Ralf H. Reussner:
Elasticity in Cloud Computing: What It Is, and What It Is Not. ICAC 2013: 23-27 - [c1]Nikolas Roman Herbst, Nikolaus Huber, Samuel Kounev, Erich Amrehn:
Self-adaptive workload classification and forecasting for proactive resource provisioning. ICPE 2013: 187-198
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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