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Acsim: Towards Hyper-scalable Internet of Things Simulation.

, , , , and . 3PGCIC, volume 13 of Lecture Notes on Data Engineering and Communications Technologies, page 743-750. Springer, (2017)

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