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Predictive Algorithms for Scheduling Parameter Sweep Calculations in a Cloud Environment., , и . 3PGCIC, том 1 из Lecture Notes on Data Engineering and Communications Technologies, стр. 789-798. Springer, (2016)Challenges of Modeling and Simulating Internet of Things Systems., , , и . 3PGCIC, том 24 из Lecture Notes on Data Engineering and Communications Technologies, стр. 457-466. Springer, (2018)Acsim: Towards Hyper-scalable Internet of Things Simulation., , , , и . 3PGCIC, том 13 из Lecture Notes on Data Engineering and Communications Technologies, стр. 743-750. Springer, (2017)Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach., , , , , и . MABS, том 12316 из Lecture Notes in Computer Science, стр. 1-12. Springer, (2020)Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System., , , , , , , и . 3PGCIC, том 343 из Lecture Notes in Networks and Systems, стр. 207-216. Springer, (2021)Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices., , , , и . 3PGCIC, том 96 из Lecture Notes in Networks and Systems, стр. 684-693. Springer, (2019)Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms., , , и . Int. J. Grid Util. Comput., 10 (1): 63-75 (2019)Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques., , , и . CoRR, (2018)Reducing Computational Cost Of Large-Scale Simulations Using Opportunistic Model Approximation., , , и . SpringSim, стр. 1-12. IEEE, (2019)Improving scalability of large scale agent-based simulations. University of Antwerp, Belgium, (2021)