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Task Level Performance - Datasets and Analysis.. (декабря 2022)Using OPEN.xtrace and Architecture-Level Models to Predict Workload Performance on In-Memory Database Systems., , , , и . Softwaretechnik-Trends, 39 (4): 5-7 (2019)ProteomicsDB: toward a FAIR open-source resource for life-science research., , , , , , , , , и 5 other автор(ы). Nucleic Acids Res., 50 (D1): 1541- (2022)Monitoring Thread-Related Resource Demands of a Multi-Tenant In-Memory Database in a Cloud Environment., , , и . Grundlagen von Datenbanken, том 2367 из CEUR Workshop Proceedings, стр. 26-31. CEUR-WS.org, (2019)Towards Performance Prediction for Stream Processing Applications., , , и . Grundlagen von Datenbanken, том 2367 из CEUR Workshop Proceedings, стр. 38-43. CEUR-WS.org, (2019)Predicting Scaling Efficiency of Distributed Stream Processing Systems via Task Level Performance Simulation., , , и . Softwaretechnik-Trends, 43 (1): 14-16 (февраля 2023)Towards Model-based Performance Predictions of SAP Enterprise., , , , и . Softwaretechnik-Trends, 39 (3): 58-60 (2019)ProteomicsDB: a multi-omics and multi-organism resource for life science research., , , , , , , , , и 6 other автор(ы). Nucleic Acids Res., 48 (Database-Issue): D1153-D1163 (2020)The Role of Performance in Streaming Analytics Projects: Expert Interviews on Current Challenges and Future Research Directions., , и . Softwaretechnik-Trends, 43 (1): 20-22 (февраля 2023)Evaluating Task-Level CPU Efficiency for Distributed Stream Processing Systems., , , и . Big Data Cogn. Comput., 7 (1): 49 (марта 2023)