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ORCIDNikolas 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, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis:
The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). ICPE (Companion) 2024: 163-164 - [c38]Ivo Rohwer, Maximilian Schwinger, Nikolas Herbst, Peter Friedl, Michael Stephan, Samuel Kounev:
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, Andrew A. Chien:
Serverless Computing: What It Is, and What It Is Not? Commun. ACM 66(9): 80-92 (2023) - [c37]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105 - [c36]Sacheendra Talluri, Nikolas Herbst, Cristina L. Abad, Animesh Trivedi, Alexandru Iosup:
A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing. CF 2023: 164-175 - [c35]Klervie Toczé, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup:
HotCloudPerf'23 Workshop Chairs' Welcome. ICPE (Companion) 2023: 257-258 - [d1]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
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, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup:
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, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup:
Serverless Applications: Why, When, and How? IEEE Softw. 38(1): 32-39 (2021) - [j13]Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev:
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, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim von Kistowski, Ahmed Ali-Eldin, Cristina L. Abad, José Nelson Amaral, Petr Tuma, Alexandru Iosup:
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, Nikolas Herbst, Samuel Kounev:
Sizeless: predicting the optimal size of serverless functions. Middleware 2021: 248-259 - [c33]Johannes Grohmann, Martin Straesser, Avi Chalbani, Simon Eismann, Yair Arian, Nikolas Herbst, Noam Peretz, Samuel Kounev:
SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. ICPE 2021: 165-176 - [c32]André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
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, Nikolas Herbst, Avi Chalbani, Yair Arian, Noam Peretz, Samuel Kounev:
A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. Comput. 9(1): 10 (2020) - [j10]André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev:
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108(7): 1068-1093 (2020) - [j9]Gunnar Brataas, Geir Kjetil Hanssen, Nikolas Herbst, André van Hoorn:
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, Alexandru Iosup:
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. SE 2020: 93-94 - [c28]André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev:
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, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad:
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, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev:
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, André Bauer, Nikolas Herbst, Jörg Domaschka:
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. CloudCom 2019: 54-61 - [c24]Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC 2019: 167-176 - [c23]André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev:
Chamulteon: Coordinated Auto-Scaling of Micro-Services. ICDCS 2019: 2015-2025 - [c22]André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
Systematic Search for Optimal Resource Configurations of Distributed Applications. FAS*W@SASO/ICAC 2019: 120-125 - [c21]Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC 2019: 134-139 - [c20]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
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, Alessandro Vittorio Papadopoulos, Dick H. J. Epema, Alexandru Iosup:
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, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina L. Abad, Alexandru Iosup:
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, Nikolas Herbst, Samuel Kounev:
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, Nikolas Herbst, Simon Ivansek, Jure Polutnik:
Scalability Analysis of Cloud Software Services. ICAC 2017: 285-292 - [c13]Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, Alessandro Vittorio Papadopoulos, Bogdan Ghit, Dick H. J. Epema, Alexandru Iosup:
An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows. ICPE 2017: 75-86 - [c12]André Bauer, Nikolas Herbst, Samuel Kounev:
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, Aleksandar Milenkoski, Evgenia Smirni:
Metrics and Benchmarks for Self-aware Computing Systems. Self-Aware Computing Systems 2017: 437-464 - [p1]Nikolas Herbst, Ayman A. Amin, Artur Andrzejak, Lars Grunske, Samuel Kounev, Ole J. Mengshoel, Priya Krishnan Sundararajan:
Online Workload Forecasting. Self-Aware Computing Systems 2017: 529-553 - 2016
- [c11]Ahmed Ali-Eldin, Alexey Ilyushkin, Bogdan Ghit, Nikolas Roman Herbst, Alessandro Papadopoulos, Alexandru Iosup:
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, Samuel Kounev:
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, Rean Griffith:
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, Reiner Jung, Jóakim von Kistowski, Anne Koziolek, Johannes Kroß, Simon Spinner, Christian Vögele, Jürgen Walter, Alexander Wert:
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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