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

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Nikolas Stroth

Nikolas Fechner

Nikolas Breitkopf

Nikolas Pomplun

Nikolas Lentz

 

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Methoden und Messverfahren für Automatisches Skalieren in Elastischen Cloud Umgebungen. GI Dissertationspreis: Seminar für Nominierte Doktoranden, Dagstuhl, Germany, June 28, 2019, (июня 2019)Design and Evaluation of a Proactive, Application-Aware Auto-Scaler, , и . Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017), (апреля 2017)3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability., , , , и . ICPE, стр. 301-302. ACM, (2020)Utilizing Clustering to Optimize Resource Demand Estimation Approaches, , , , , и . 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 134--139. IEEE, (июня 2019)Predicting the Costs of Serverless Workflows, , , , и . Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE), стр. 265--276. New York, NY, USA, Association for Computing Machinery (ACM), (апреля 2020)Acceptance Rate: 23.4% (15/64).SPEC Research Group Newsletter, vol. 3 no. 1, , , и . (апреля 2020)Published by Standard Performance Evaluation Corporation (SPEC).Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field., , , , и . IEEE Trans. Parallel Distributed Syst., 30 (4): 800-813 (2019)A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing., , , , и . CF, стр. 164-175. ACM, (2023)Elasticity of Cloud Platforms, , и . Systems Benchmarking: For Scientists and Engineers, стр. 319-340. Springer, (января 2020)Methodological Principles for Reproducible Performance Evaluation in Cloud Computing, , , , , , , , , и . IEEE Transactions on Software Engineering, 47 (8): 1528-1543 (июля 2019)