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An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge., , , , , и . ASE, стр. 281-293. IEEE, (2023)SymED: Adaptive and Online Symbolic Representation of Data on the Edge., , , и . Euro-Par, том 14100 из Lecture Notes in Computer Science, стр. 411-425. Springer, (2023)Data-centric Edge-AI: A Symbolic Representation Use Case., , , и . EDGE, стр. 301-308. IEEE, (2023)A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature., , , , и . UCC, стр. 12. ACM, (2023)GPU PaaS Computation Model in Aneka Cloud Computing Environments., , , и . Smart Data, Chapman and Hall/CRC, (2019)Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning., , и . CoRR, (2020)DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets., , , , и . CLOUD, стр. 418-427. IEEE, (2023)DEMon: Decentralized Monitoring for Highly Volatile Edge Environments., , , и . UCC, стр. 145-150. IEEE, (2022)A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)., , , и . CCGRID, стр. 579-588. IEEE, (2020)CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning., , , , , , и . IEEE Trans. Netw. Serv. Manag., 19 (4): 3995-4009 (декабря 2022)