Nikolas Herbst

Affiliations:
  • Julius Maximilians University Würzburg, Department of Computer Science, Germany (PhD 2018)
  • Karlsruhe Institute of Technology, Institute for Program Structures and Data Organisation, Germany (former)


According to our database1, Nikolas Herbst authored at least 61 papers between 2013 and 2023.

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Bibliography

2023
Serverless Computing: What It Is, and What It Is Not?
Commun. ACM, September, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).
Dataset, February, 2023

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field.
CoRR, 2023

HotCloudPerf'23 Workshop Chairs' Welcome.
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.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
The State of Serverless Applications: Collection, Characterization, and Community Consensus.
IEEE Trans. Software Eng., 2022

2021
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.
IEEE Trans. Software Eng., 2021

SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation.
ACM Trans. Auton. Adapt. Syst., 2021

Serverless Applications: Why, When, and How?
IEEE Softw., 2021

Serverless Computing (Dagstuhl Seminar 21201).
Dagstuhl Reports, 2021

SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Libra: A Benchmark for Time Series Forecasting Methods.
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.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Sizeless: predicting the optimal size of serverless functions.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

2020
Agile Scalability Engineering: The ScrumScale Method.
IEEE Softw., 2020

Time Series Forecasting for Self-Aware Systems.
Proc. IEEE, 2020

A Review of Serverless Use Cases and their Characteristics.
CoRR, 2020

A Taxonomy of Techniques for SLO Failure Prediction in Software Systems.
Comput., 2020

3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability.
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Predicting the Costs of Serverless Workflows.
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.
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.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field.
IEEE Trans. Parallel Distributed Syst., 2019

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

The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms.
IEEE Internet Comput., 2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Best Practices for Time Series Forecasting (Tutorial).
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Systematic Search for Optimal Resource Configurations of Distributed Applications.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Chamulteon: Coordinated Auto-Scaling of Micro-Services.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Autonomic Forecasting Method Selection: Examination and Ways Ahead.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS.
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.
Proceedings of the Ausgezeichnete Informatikdissertationen 2018., 2018

Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments.
PhD thesis, 2018

An Experimental Performance Evaluation of Autoscalers for Complex Workflows.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

TeaStore: A Micro-Service Reference Application for Cloud Researchers.
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.
Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2018

Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017
Modeling and Extracting Load Intensity Profiles.
ACM Trans. Auton. Adapt. Syst., 2017

An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows.
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.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Self-Tuning Resource Demand Estimation.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Scalability Analysis of Cloud Software Services.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Metrics and Benchmarks for Self-aware Computing Systems.
Proceedings of the Self-Aware Computing Systems., 2017

Online Workload Forecasting.
Proceedings of the Self-Aware Computing Systems., 2017

2016
Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics.
CoRR, 2016

Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms.
Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

2015
ICSE 2015 SIGSOFT CAPS Report.
ACM SIGSOFT Softw. Eng. Notes, 2015

Performance-oriented DevOps: A Research Agenda.
CoRR, 2015

Modeling and Extracting Load Intensity Profiles.
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.
Proceedings of the 10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2015

Proactive Memory Scaling of Virtualized Applications.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Self-adaptive workload classification and forecasting for proactive resource provisioning.
Concurr. Comput. Pract. Exp., 2014

Towards a Resource Elasticity Benchmark for Cloud Environments.
Proceedings of the 2nd International Workshop on Hot Topics in Cloud service Scalability, 2014

Optimization Method for Request Admission Control to Guarantee Performance Isolation.
Proceedings of the 2nd International Workshop on Hot Topics in Cloud service Scalability, 2014

Modeling variations in load intensity over time.
Proceedings of the LT'14, 2014

LIMBO: a tool for modeling variable load intensities.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors.
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.
Proceedings of the 10th International Conference on Autonomic Computing, 2013


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