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Clustering techniques for dynamic location management in mobile computing., и . J. Parallel Distributed Comput., 67 (4): 430-447 (2007)A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems., , , , , и . Sustain. Comput. Informatics Syst., 4 (4): 252-261 (2014)Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption, , , , и . CoRR, (2012)An Overview of the Location Management Problem for Mobile Computing Environments., , и . The Handbook of Mobile Middleware, Auerbach Publications/CRC, (2006)B-Alarm: An Entropy Based Burst Traffic Prediction Approach for Ethernet Switches in Data Centers., , и . HPCC/EUC, стр. 1221-1226. IEEE, (2013)Fuzzy modeling to predict performance of collocated virtual machines in private clouds., , и . SoftCOM, стр. 228-232. IEEE, (2014)Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method., , , , , , и . IEEE Trans. Ind. Informatics, 16 (9): 6103-6113 (2020)A Deployable Containerized 5G Core Solution for Time Critical Communication in Smart Grid., , , и . ICIN, стр. 153-155. IEEE, (2020)Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments., , , и . World Wide Web, 18 (6): 1737-1757 (2015)AIDA - A holistic AI-driven networking and processing framework for industrial IoT applications., , , , , , , , и . Internet Things, (июля 2023)