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Adaptive multiple model control for a class of nonlinear discrete time systems: second-level adaption design approach., , and . Int. J. Control, 96 (2): 497-507 (February 2023)Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices., , , , and . CoRR, (2021)Analytically-Driven Resource Management for Cloud-Native Microservices., , , and . CoRR, (2024)Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer., , , , , , and . ACM SIGOPS Oper. Syst. Rev., 53 (1): 34-39 (2019)Research on Theoretical Power Calculation Model for Large-Scale Wind Power Base., , , , , and . ICITEE, page 55:1-55:4. ACM, (2019)Faster and Cheaper Serverless Computing on Harvested Resources., , , , , , and . SOSP, page 724-739. ACM, (2021)Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing., , , , and . J. Cloud Comput., (2020)Adaptive modified prescribed performance constraint control for uncertain nonlinear discrete-time systems., , and . Appl. Math. Comput., (2023)Investigation and Mitigation of Noise Contributions in a Compact Heterodyne Interferometer., , , and . Sensors, 21 (17): 5788 (2021)An Open-Source Benchmark Suite for Cloud and IoT Microservices., , , , , , , , , and 14 other author(s). CoRR, (2019)