Nikolas Herbst

According to our database, Nikolas Herbst authored at least 64 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing.

Sacheendra Talluri, Nikolas Herbst, Cristina L. Abad, Tiziano De Matteis, Alexandru Iosup

Future Gener. Comput. Syst., 2024

Resource Demand Profiling of Monolithic Workflows.

Ivo Rohwer, Maximilian Schwinger, Nikolas Herbst, Peter Friedl, Michael Stephan, Samuel Kounev

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024).

Dragi Kimovski, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023

Serverless Computing: What It Is, and What It Is Not?

Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian T. Foster, Prashant J. Shenoy, Omer F. Rana, Andrew A. Chien

Commun. ACM, September, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).

Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev

Dataset, February, 2023

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field.

André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster

CoRR, 2023

HotCloudPerf'23 Workshop Chairs' Welcome.

Klervie Toczé, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing.

Sacheendra Talluri, Nikolas Herbst, Cristina L. Abad, Animesh Trivedi, Alexandru Iosup

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times.

Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

The State of Serverless Applications: Collection, Characterization, and Community Consensus.

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup

IEEE Trans. Software Eng., 2022

2021

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.

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

IEEE Trans. Software Eng., 2021

SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation.

Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev

ACM Trans. Auton. Adapt. Syst., 2021

Serverless Applications: Why, When, and How?

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup

IEEE Softw., 2021

Serverless Computing (Dagstuhl Seminar 21201).

Cristina L. Abad, Ian T. Foster, Nikolas Herbst, Alexandru Iosup

Dagstuhl Reports, 2021

SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications.

Johannes Grohmann, Martin Straesser, Avi Chalbani, Simon Eismann, Yair Arian, Nikolas Herbst, Noam Peretz, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Libra: A Benchmark for Time Series Forecasting Methods.

André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

The Fourth Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'21): Benchmarking in the Cloud.

Cristina L. Abad, Nikolas Herbst, Alexandru Uta, Alexandru Iosup

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Sizeless: predicting the optimal size of serverless functions.

Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev

Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

2020

Agile Scalability Engineering: The ScrumScale Method.

Gunnar Brataas, Geir Kjetil Hanssen, Nikolas Herbst, André van Hoorn

IEEE Softw., 2020

Time Series Forecasting for Self-Aware Systems.

André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev

Proc. IEEE, 2020

A Review of Serverless Use Cases and their Characteristics.

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup

CoRR, 2020

A Taxonomy of Techniques for SLO Failure Prediction in Software Systems.

Johannes Grohmann, Nikolas Herbst, Avi Chalbani, Yair Arian, Noam Peretz, Samuel Kounev

Comput., 2020

3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability.

Alexandru Uta, Dmitry Duplyakin, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Predicting the Costs of Serverless Workflows.

Simon Eismann, Johannes Grohmann, Erwin Van Eyk, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series.

André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field.

André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field.

André Bauer, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev

IEEE Trans. Parallel Distributed Syst., 2019

10th Symposium on Software Performance (SSP) Würzburg, November 5-6, 2019.

Nikolas Herbst, Ralf H. Reussner

Softwaretechnik-Trends, 2019

The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms.

Erwin Van Eyk, Alexandru Iosup, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad

IEEE Internet Comput., 2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.

Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Best Practices for Time Series Forecasting (Tutorial).

André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Systematic Search for Optimal Resource Configurations of Distributed Applications.

André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Chamulteon: Coordinated Auto-Scaling of Micro-Services.

André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Autonomic Forecasting Method Selection: Examination and Ways Ahead.

Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS.

Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018

Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments.

Nikolas Herbst

Proceedings of the Ausgezeichnete Informatikdissertationen 2018., 2018

Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments.

Nikolas Roman Herbst

PhD thesis, 2018

An Experimental Performance Evaluation of Autoscalers for Complex Workflows.

Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro Vittorio Papadopoulos, Dick H. J. Epema, Alexandru Iosup

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges.

Nikolas Herbst, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina L. Abad, Alexandru Iosup

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds.

Veronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

TeaStore: A Micro-Service Reference Application for Cloud Researchers.

Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

On the Value of Service Demand Estimation for Auto-scaling.

André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2018

Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper.

Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev

Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017

Modeling and Extracting Load Intensity Profiles.

Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev, Henning Groenda, Christian Stier, Sebastian Lehrig

ACM Trans. Auton. Adapt. Syst., 2017

An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows.

Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, Alessandro Vittorio Papadopoulos, Bogdan Ghit, Dick H. J. Epema, Alexandru Iosup

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper.

André Bauer, Nikolas Herbst, Samuel Kounev

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Self-Tuning Resource Demand Estimation.

Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev

Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Scalability Analysis of Cloud Software Services.

Gunnar Brataas, Nikolas Herbst, Simon Ivansek, Jure Polutnik

Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Metrics and Benchmarks for Self-aware Computing Systems.

Nikolas Herbst, Steffen Becker, Samuel Kounev, Heiko Koziolek, Martina Maggio, Aleksandar Milenkoski, Evgenia Smirni

Proceedings of the Self-Aware Computing Systems., 2017

Online Workload Forecasting.

Nikolas Herbst, Ayman A. Amin, Artur Andrzejak, Lars Grunske, Samuel Kounev, Ole J. Mengshoel, Priya Krishnan Sundararajan

Proceedings of the Self-Aware Computing Systems., 2017

2016

Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics.

Nikolas Herbst, Rouven Krebs, Giorgos Oikonomou, George Kousiouris, Athanasia Evangelinou, Alexandru Iosup, Samuel Kounev

CoRR, 2016

Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms.

Ahmed Ali-Eldin, Alexey Ilyushkin, Bogdan Ghit, Nikolas Roman Herbst, Alessandro Papadopoulos, Alexandru Iosup

Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

2015

ICSE 2015 SIGSOFT CAPS Report.

Nikolas Herbst

ACM SIGSOFT Softw. Eng. Notes, 2015

Performance-oriented DevOps: A Research Agenda.

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

CoRR, 2015

Modeling and Extracting Load Intensity Profiles.

Jóakim von Kistowski, Nikolas Herbst, Daniel Zoller, Samuel Kounev, Andreas Hotho

Proceedings of the 10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2015

BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments.

Nikolas Roman Herbst, Samuel Kounev, Andreas Weber, Henning Groenda

Proceedings of the 10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2015

Proactive Memory Scaling of Virtualized Applications.

Simon Spinner, Nikolas Herbst, Samuel Kounev, Xiaoyun Zhu, Lei Lu, Mustafa Uysal, Rean Griffith

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Self-adaptive workload classification and forecasting for proactive resource provisioning.

Nikolas Roman Herbst, Nikolaus Huber, Samuel Kounev, Erich Amrehn

Concurr. Comput. Pract. Exp., 2014

Towards a Resource Elasticity Benchmark for Cloud Environments.

Andreas Weber, Nikolas Herbst, Henning Groenda, Samuel Kounev

Proceedings of the 2nd International Workshop on Hot Topics in Cloud service Scalability, 2014

Optimization Method for Request Admission Control to Guarantee Performance Isolation.

Rouven Krebs, Philipp Schneider, Nikolas Herbst

Proceedings of the 2nd International Workshop on Hot Topics in Cloud service Scalability, 2014

Modeling variations in load intensity over time.

Jóakim von Kistowski, Nikolas Roman Herbst, Samuel Kounev

Proceedings of the LT'14, 2014

LIMBO: a tool for modeling variable load intensities.

Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev

Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors.

Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev

Proceedings of the Symposium on Software Performance: Joint Descartes/Kieker/Palladio Days, 2014

2013

Elasticity in Cloud Computing: What It Is, and What It Is Not.

Nikolas Roman Herbst, Samuel Kounev, Ralf H. Reussner

Proceedings of the 10th International Conference on Autonomic Computing, 2013