Nikolas Herbst

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 52

Top Topics

Benchmark Suite

Design Space Exploration

Intensity Profile

Top Venues

FAS*W@SASO/ICAC

ICPE (Companion)

Publications

Ivo Rohwer, Maximilian Schwinger, Nikolas Herbst, Peter Friedl, Michael Stephan, Samuel Kounev
Resource Demand Profiling of Monolithic Workflows. ICPE (Companion) (2024)
Dragi Kimovski, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis
The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). ICPE (Companion) (2024)
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 (2024)
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 (2023)
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)
Klervie Toczé, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup
HotCloudPerf'23 Workshop Chairs' Welcome. ICPE (Companion) (2023)
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) (2023)
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)
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) (2022)
Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev
Sizeless: predicting the optimal size of serverless functions. Middleware (2021)
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) (2021)
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)
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)
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) (2021)
André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
Libra: A Benchmark for Time Series Forecasting Methods. ICPE (2021)
Cristina L. Abad, Ian T. Foster, Nikolas Herbst, Alexandru Iosup
Serverless Computing (Dagstuhl Seminar 21201). Dagstuhl Reports 11 (4) (2021)
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) (2021)
Simon Eismann, Johannes Grohmann, Erwin Van Eyk, Nikolas Herbst, Samuel Kounev
Predicting the Costs of Serverless Workflows. ICPE (2020)
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)
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)
André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108 (7) (2020)
Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev
Sizeless: Predicting the optimal size of serverless functions. CoRR (2020)
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 (2020)
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) (2020)
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)
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)
Gunnar Brataas, Geir Kjetil Hanssen, Nikolas Herbst, André van Hoorn
Agile Scalability Engineering: The ScrumScale Method. IEEE Softw. 37 (4) (2020)
André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
Systematic Search for Optimal Resource Configurations of Distributed Applications. FAS*W@SASO/ICAC (2019)
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) (2019)
Nikolas Herbst, Ralf H. Reussner
10th Symposium on Software Performance (SSP) Würzburg, November 5-6, 2019. Softwaretechnik-Trends 39 (4) (2019)
Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. CloudCom (2019)
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)
Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC (2019)
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) (2019)
André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC (2019)
André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev
Chamulteon: Coordinated Auto-Scaling of Micro-Services. ICDCS (2019)
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) (2018)
Veronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. ICPE (2018)
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)
André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
On the Value of Service Demand Estimation for Auto-scaling. MMB (2018)
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) (2018)
Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev
Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper. CLOSER (2018)
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)
Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev
Self-Tuning Resource Demand Estimation. ICAC (2017)
André Bauer, Nikolas Herbst, Samuel Kounev
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper. ICPE (2017)
Gunnar Brataas, Nikolas Herbst, Simon Ivansek, Jure Polutnik
Scalability Analysis of Cloud Software Services. ICAC (2017)
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) (2017)
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 (2016)
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 (2015)
Jóakim von Kistowski, Nikolas Herbst, Daniel Zoller, Samuel Kounev, Andreas Hotho
Modeling and Extracting Load Intensity Profiles. SEAMS@ICSE (2015)
Nikolas Herbst
ICSE 2015 SIGSOFT CAPS Report. ACM SIGSOFT Softw. Eng. Notes 40 (4) (2015)
Simon Spinner, Nikolas Herbst, Samuel Kounev, Xiaoyun Zhu, Lei Lu, Mustafa Uysal, Rean Griffith
Proactive Memory Scaling of Virtualized Applications. CLOUD (2015)
Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev
Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors. SoSP (2014)
Andreas Weber, Nikolas Herbst, Henning Groenda, Samuel Kounev
Towards a Resource Elasticity Benchmark for Cloud Environments. HotTopiCS@ICPE (2014)
Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev
LIMBO: a tool for modeling variable load intensities. ICPE (2014)
Rouven Krebs, Philipp Schneider, Nikolas Herbst
Optimization Method for Request Admission Control to Guarantee Performance Isolation. HotTopiCS@ICPE (2014)