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Nikolas Herbst
Nikolas Herbst
Geverifieerd e-mailadres voor uni-wuerzburg.de - Homepage
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Elasticity in Cloud Computing: What It Is, and What It Is Not.
NR Herbst, S Kounev, RH Reussner
ICAC, 23-27, 2013
7482013
Self-adaptive workload classification and forecasting for proactive resource provisioning
NR Herbst, N Huber, S Kounev, E Amrehn
Proceedings of the 4th ACM/SPEC International Conference on Performance …, 2013
2172013
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
1412015
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
1202017
Serverless applications: Why, when, and how?
S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ...
IEEE Software 38 (1), 32-39, 2020
1192020
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
912015
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 47 (8), 1528-1543, 2019
812019
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
762017
A review of serverless use cases and their characteristics
S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ...
arXiv preprint arXiv:2008.11110, 2020
682020
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
682018
The state of serverless applications: Collection, characterization, and community consensus
S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ...
IEEE Transactions on Software Engineering 48 (10), 4152-4166, 2021
602021
Sizeless: Predicting the optimal size of serverless functions
S Eismann, L Bui, J Grohmann, C Abad, N Herbst, S Kounev
Proceedings of the 22nd International Middleware Conference, 248-259, 2021
562021
The SPEC-RG reference architecture for FaaS: From microservices and containers to serverless platforms
E Van Eyk, J Grohmann, S Eismann, A Bauer, L Versluis, L Toader, ...
IEEE Internet Computing 23 (6), 7-18, 2019
562019
Predicting the costs of serverless workflows
S Eismann, J Grohmann, E Van Eyk, N Herbst, S Kounev
Proceedings of the ACM/SPEC international conference on performance …, 2020
532020
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
532016
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
502014
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
482017
Defining and quantifying elasticity of resources in cloud computing and scalable platforms
M Kuperberg, N Herbst, J von Kistowski, R Reussner
KIT, Fakultät für Informatik, 2011
472011
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
412014
Chamulteon: Coordinated auto-scaling of micro-services
A Bauer, V Lesch, L Versluis, A Ilyushkin, N Herbst, S Kounev
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
382019
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Artikelen 1–20