Nikolas Herbst
Title
Cited by
Cited by
Year
Elasticity in Cloud Computing: What It Is, and What It Is Not.
NR Herbst, S Kounev, RH Reussner
ICAC, 23-27, 2013
5752013
Self‐adaptive workload classification and forecasting for proactive resource provisioning
NR Herbst, N Huber, S Kounev, E Amrehn
Concurrency and computation: practice and experience 26 (12), 2053-2078, 2014
1932014
Performance-oriented DevOps: A research agenda
A Brunnert, A van Hoorn, F Willnecker, A Danciu, W Hasselbring, C Heger, ...
arXiv preprint arXiv:1508.04752, 2015
1132015
Metrics and benchmarks for self-aware computing systems
N Herbst, S Becker, S Kounev, H Koziolek, M Maggio, A Milenkoski, ...
Self-Aware Computing Systems, 437-464, 2017
752017
BUNGEE: an elasticity benchmark for self-adaptive IaaS cloud environments
NR Herbst, S Kounev, A Weber, H Groenda
2015 IEEE/ACM 10th International Symposium on Software Engineering for …, 2015
752015
An experimental performance evaluation of autoscaling policies for complex workflows
A Ilyushkin, A Ali-Eldin, N Herbst, AV Papadopoulos, B Ghit, D Epema, ...
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
552017
Modeling and extracting load intensity profiles
JV Kistowski, N Herbst, S Kounev, H Groenda, C Stier, S Lehrig
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 11 (4), 1-28, 2017
412017
Modeling variations in load intensity over time
J v. Kistowski, NR Herbst, S Kounev
Proceedings of the third international workshop on Large scale testing, 1-4, 2014
402014
Defining and quantifying elasticity of resources in cloud computing and scalable platforms
M Kuperberg, N Herbst, J Von Kistowski, R Reussner
392011
Chameleon: A hybrid, proactive auto-scaling mechanism on a level-playing field
A Bauer, N Herbst, S Spinner, A Ali-Eldin, S Kounev
IEEE Transactions on Parallel and Distributed Systems 30 (4), 800-813, 2018
372018
Ready for rain? a view from spec research on the future of cloud metrics
N Herbst, R Krebs, G Oikonomou, G Kousiouris, A Evangelinou, A Iosup, ...
arXiv preprint arXiv:1604.03470, 2016
332016
Towards a resource elasticity benchmark for cloud environments
A Weber, N Herbst, H Groenda, S Kounev
Proceedings of the 2nd International Workshop on Hot Topics in Cloud service …, 2014
312014
Methodological principles for reproducible performance evaluation in cloud computing
AV Papadopoulos, L Versluis, A Bauer, N Herbst, J Von Kistowski, ...
IEEE Transactions on Software Engineering, 2019
292019
Proactive memory scaling of virtualized applications
S Spinner, N Herbst, S Kounev, X Zhu, L Lu, M Uysal, R Griffith
2015 IEEE 8th International Conference on Cloud Computing, 277-284, 2015
262015
LIMBO: a tool for modeling variable load intensities
J v. Kistowski, N Herbst, S Kounev
Proceedings of the 5th ACM/SPEC international conference on Performance …, 2014
232014
Quantifying cloud performance and dependability: Taxonomy, metric design, and emerging challenges
N Herbst, A Bauer, S Kounev, G Oikonomou, EV Eyk, G Kousiouris, ...
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2018
222018
An experimental performance evaluation of autoscalers for complex workflows
A Ilyushkin, A Ali-Eldin, N Herbst, A Bauer, AV Papadopoulos, D Epema, ...
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2018
212018
Scalability Analysis of Cloud Software Services
G Brataas, N Herbst, S Ivansek, J Politnik
In Companion Proceedings of the 14th IEEE International Conference on …, 2017
182017
Design and evaluation of a proactive, application-aware auto-scaler: Tutorial paper
A Bauer, N Herbst, S Kounev
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
172017
Telescope: a hybrid forecast method for univariate time series
M Züfle, A Bauer, N Herbst, V Curtef, S Kounev
International work-conference on Time Series (ITISE 2017), 2017
162017
The system can't perform the operation now. Try again later.
Articles 1–20