Elasticity in Cloud Computing: What It Is, and What It Is Not. - Nikolas Roman Herbst; Samuel Kounev; Ralf H. Reussner (ICAC, 2013)

Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors. - Jóakim von Kistowski; Nikolas Herbst; Samuel Kounev (SoSP, 2014)

LIMBO: a tool for modeling variable load intensities. - Jóakim von Kistowski; Nikolas Herbst; Samuel Kounev (ICPE, 2014)

Modeling variations in load intensity over time. - Jóakim von Kistowski; Nikolas Roman Herbst; Samuel Kounev (LT@ICPE, 2014)

Optimization Method for Request Admission Control to Guarantee Performance Isolation. - Rouven Krebs; Philipp Schneider; Nikolas Herbst (HotTopiCS@ICPE, 2014)

Towards a Resource Elasticity Benchmark for Cloud Environments. - Andreas Weber 007; Nikolas Herbst; Henning Groenda; Samuel Kounev (HotTopiCS@ICPE, 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)

Proactive Memory Scaling of Virtualized Applications. - Simon Spinner; Nikolas Herbst; Samuel Kounev; Xiaoyun Zhu; Lei Lu; Mustafa Uysal; Rean Griffith (CLOUD, 2015)

BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments. - Nikolas Roman Herbst; Samuel Kounev; Andreas Weber 007; Henning Groenda (SEAMS@ICSE, 2015)

Modeling and Extracting Load Intensity Profiles. - Jóakim von Kistowski; Nikolas Herbst; Daniel Zoller; Samuel Kounev; Andreas Hotho (SEAMS@ICSE, 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; et al. (CoRR, 2015)

ICSE 2015 SIGSOFT CAPS Report. - Nikolas Herbst (ACM SIGSOFT Softw. Eng. Notes, 2015)

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 (ICPE, 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)

Online Workload Forecasting. - Nikolas Herbst; Ayman A. Amin; Artur Andrzejak 001; Lars Grunske; Samuel Kounev; Ole J. Mengshoel; Priya Krishnan Sundararajan (Self-Aware Computing Systems, 2017)

Metrics and Benchmarks for Self-aware Computing Systems. - Nikolas Herbst; Steffen Becker 001; Samuel Kounev; Heiko Koziolek; Martina Maggio; Aleksandar Milenkoski; Evgenia Smirni (Self-Aware Computing Systems, 2017)

Scalability Analysis of Cloud Software Services. - Gunnar Brataas; Nikolas Herbst; Simon Ivansek; Jure Polutnik (ICAC, 2017)

Self-Tuning Resource Demand Estimation. - Johannes Grohmann; Nikolas Herbst; Simon Spinner; Samuel Kounev (ICAC, 2017)

Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper. - André Bauer 001; Nikolas Herbst; Samuel Kounev (ICPE, 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 (ICPE, 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)

Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper. - Johannes Grohmann; Nikolas Herbst; Simon Spinner; Samuel Kounev (CLOSER, 2018)

On the Value of Service Demand Estimation for Auto-scaling. - André Bauer 001; Johannes Grohmann; Nikolas Herbst; Samuel Kounev (MMB, 2018)

TeaStore: A Micro-Service Reference Application for Cloud Researchers. - Simon Eismann; Jóakim von Kistowski; Johannes Grohmann; André Bauer 001; Norbert Schmitt; Nikolas Herbst; Samuel Kounev (UCC Companion, 2018)

FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. - Veronika Lesch; André Bauer 001; Nikolas Herbst; Samuel Kounev (ICPE, 2018)

Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges. - Nikolas Herbst; André Bauer 001; 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)

An Experimental Performance Evaluation of Autoscalers for Complex Workflows. - Alexey Ilyushkin; Ahmed Ali-Eldin; Nikolas Herbst; André Bauer 001; Alessandro Vittorio Papadopoulos; Dick H. J. Epema; Alexandru Iosup (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018)

Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments. - Nikolas Roman Herbst (2018)

Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments. - Nikolas Herbst (Ausgezeichnete Informatikdissertationen, 2018)

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. - Daniel Seybold; Simon Volpert; Stefan Wesner; André Bauer 001; Nikolas Herbst; Jörg Domaschka (CloudCom, 2019)

Autonomic Forecasting Method Selection: Examination and Ways Ahead. - Marwin Züfle; André Bauer 001; Veronika Lesch; Christian Krupitzer; Nikolas Herbst; Samuel Kounev; Valentin Curtef (ICAC, 2019)

Chamulteon: Coordinated Auto-Scaling of Micro-Services. - André Bauer 001; Veronika Lesch; Laurens Versluis; Alexey Ilyushkin; Nikolas Herbst; Samuel Kounev (ICDCS, 2019)

Systematic Search for Optimal Resource Configurations of Distributed Applications. - André Bauer 001; Simon Eismann; Johannes Grohmann; Nikolas Herbst; Samuel Kounev (FAS*W@SASO/ICAC, 2019)

Best Practices for Time Series Forecasting (Tutorial). - André Bauer 001; Marwin Züfle; Nikolas Herbst; Samuel Kounev (FAS*W@SASO/ICAC, 2019)

Utilizing Clustering to Optimize Resource Demand Estimation Approaches. - Johannes Grohmann; Simon Eismann; André Bauer 001; Marwin Züfle; Nikolas Herbst; Samuel Kounev (FAS*W@SASO/ICAC, 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 001; Laurens Versluis; Lucian Toader; Norbert Schmitt; Nikolas Herbst; Cristina L. Abad (IEEE Internet Comput., 2019)

10th Symposium on Software Performance (SSP) Würzburg, November 5-6, 2019. - Nikolas Herbst; Ralf H. Reussner (Softwaretechnik-Trends, 2019)

Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. - André Bauer 001; Nikolas Herbst; Simon Spinner; Ahmed Ali-Eldin; Samuel Kounev (IEEE Trans. Parallel Distributed Syst., 2019)

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. - André Bauer 001; Marwin Züfle; Nikolas Herbst; Samuel Kounev; Valentin Curtef (ICDE, 2020)

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. - André Bauer 001; Marwin Züfle; Johannes Grohmann; Norbert Schmitt; Nikolas Herbst; Samuel Kounev (ICPE, 2020)

Predicting the Costs of Serverless Workflows. - Simon Eismann; Johannes Grohmann; Erwin Van Eyk; Nikolas Herbst; Samuel Kounev (ICPE, 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 (ICPE, 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)

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)

Time Series Forecasting for Self-Aware Systems. - André Bauer 001; Marwin Züfle; Nikolas Herbst; Albin Zehe; Andreas Hotho; Samuel Kounev (Proc. IEEE, 2020)

Agile Scalability Engineering: The ScrumScale Method. - Gunnar Brataas; Geir Kjetil Hanssen; Nikolas Herbst; André van Hoorn (IEEE Softw., 2020)

Sizeless: predicting the optimal size of serverless functions. - Simon Eismann; Long Bui; Johannes Grohmann; Cristina L. Abad; Nikolas Herbst; Samuel Kounev (Middleware, 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 (ICPE, 2021)

Libra: A Benchmark for Time Series Forecasting Methods. - André Bauer 001; Marwin Züfle; Simon Eismann; Johannes Grohmann; Nikolas Herbst; Samuel Kounev (ICPE, 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 (ICPE, 2021)

Serverless Computing (Dagstuhl Seminar 21201). - Cristina L. Abad; Ian T. Foster; Nikolas Herbst; Alexandru Iosup (Dagstuhl Reports, 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)

SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. - Johannes Grohmann; Simon Eismann; André Bauer 001; Simon Spinner; Johannes Blum 001; Nikolas Herbst; Samuel Kounev (ACM Trans. Auton. Adapt. Syst., 2021)

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. - Alessandro Vittorio Papadopoulos; Laurens Versluis; André Bauer 001; Nikolas Herbst; Jóakim von Kistowski; Ahmed Ali-Eldin; Cristina L. Abad; José Nelson Amaral; Petr Tuma 001; Alexandru Iosup (IEEE Trans. Software Eng., 2021)

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)

An Empirical Study of Container Image Configurations and Their Impact on Start Times. - Martin Straesser; André Bauer 001; Robert Leppich; Nikolas Herbst; Kyle Chard; Ian T. Foster; Samuel Kounev (CCGrid, 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 (CF, 2023)

HotCloudPerf'23 Workshop Chairs' Welcome. - Klervie Toczé; Cristina L. Abad; Nikolas Herbst; Alexandru Iosup (ICPE (Companion), 2023)

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. - André Bauer 001; Mark Leznik; Michael Stenger; Robert Leppich; Nikolas Herbst; Samuel Kounev; Ian T. Foster (CoRR, 2023)

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). - Martin Straesser; André Bauer 001; Robert Leppich; Nikolas Herbst; Kyle Chard; Ian T. Foster; Samuel Kounev (Zenodo, 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, 2023)

The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). - Dragi Kimovski; Klervie Toczé; Nikolas Herbst; Tiziano De Matteis (ICPE (Companion), 2024)

Resource Demand Profiling of Monolithic Workflows. - Ivo Rohwer; Maximilian Schwinger; Nikolas Herbst; Peter Friedl; Michael Stephan; Samuel Kounev (ICPE (Companion), 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)

Modelling and Optimizing a Graph-based Settlement Delineation and Analysis Workflow. - Lorenz Gruber; Nikolas Herbst; Samuel Kounev; Thomas Esch; Thanh Nguyen (Softwaretechnik-Trends, 2024)

On the Realisation of a Workflow for Continuous Earth Observation of Forest Dynamics: A Performance Engineering Challenge. - Nikolas Herbst; Niklas Jaggy; David Dingel; David Linke; Claudia Kuenzer; Samuel Kounev (Softwaretechnik-Trends, 2024)

PARAGRAPH: Phase-Aware Resource Demand Profiling for HPDA/HPC Jobs. - Ivo Rohwer; Nikolas Herbst; Maximilian Schwinger; Peter Friedl; Michael Stephan; Samuel Kounev (ICPE, 2025)

Continuous Earth Observation of Forest Dynamics and Biodiversity. - Nikolas Herbst; Mareike Kortmann; Niklas Jaggy; Frank Thonfeld; Cristina L. Abad; Claudia Kuenzer; Jörg Müller 003; Samuel Kounev (Commun. ACM, 2025)