Elasticity in Cloud Computing: What It Is, and What It Is Not. NR Herbst, S Kounev, RH Reussner ICAC, 23-27, 2013 | 775 | 2013 |
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 | 223 | 2013 |
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 | 150 | 2015 |
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 | 138 | 2020 |
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 | 98 | 2019 |
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 | 95 | 2015 |
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 | 84 | 2021 |
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 | 78 | 2020 |
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 | 75 | 2018 |
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 | 75 | 2017 |
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 | 68 | 2021 |
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 | 65 | 2019 |
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 | 61 | 2020 |
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 | 53 | 2016 |
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 | 50 | 2017 |
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 | 50 | 2014 |
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 | 47 | 2019 |
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 | 47 | 2011 |
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 | 45 | 2014 |
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 | 43 | 2018 |