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Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads, , , , , и . Companion of the ACM/SPEC International Conference on Performance Engineering, ICPE '21, стр. 175–178. New York, NY, USA, Association for Computing Machinery, (2021)Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments., , , и . ICPE, стр. 218-229. ACM, (2020)Comprehensive Exploration of Synthetic Data Generation: A Survey., , , , , , , и . CoRR, (2024)SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper., , , , , , , и . ICPE (Companion), стр. 13-14. ACM, (2022)Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper., , , , , и . ICPE (Companion), стр. 175-178. ACM, (2021)Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity., , , , , , , и . ICPE, стр. 89-96. ACM, (2022)Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field., , , , , , и . CoRR, (2023)Change Point Detection for MongoDB Time Series Performance Regression., , , , , и . ICPE (Companion), стр. 45-48. ACM, (2022)Multivariate Time Series Synthesis Using Generative Adversarial Networks., , , , , и . ICPE, стр. 43-50. ACM, (2021)SoK The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis., , , и . J. Syst. Res., (марта 2022)