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CloudCAMP: Automating Cloud Services Deployment and Management., , , и . CoRR, (2019)Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs., , , , , , , и . SEC, стр. 1-14. ACM, (2019)A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications., , , , , , и . SMARTCOMP, стр. 133-140. IEEE, (2023)Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems., , , , и . COMSNETS, стр. 361-369. IEEE, (2024)FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum., , , , , и . SEC, стр. 331-333. IEEE, (2018)Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services., , , , , , и . IC2E, стр. 233-244. IEEE, (2022)FECBench: A Holistic Interference-aware Approach for Application Performance Modeling., , , , , , , и . IC2E, стр. 211-221. IEEE, (2019)Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract., , , , и . IoTDI, стр. 273-274. ACM, (2021)Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge., , , , и . DDDAS, том 13984 из Lecture Notes in Computer Science, стр. 325-339. Springer, (2022)Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing., , , , , , , , , и 1 other автор(ы). IEEE BigData, стр. 1337-1346. IEEE, (2018)