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ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments., , , , , , , , , and 1 other author(s). J. Syst. Softw., (2020)Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters., , , , and . CLOUD, page 374-384. IEEE, (2022)ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices., , and . J. Syst. Softw., (2019)Horus: An Interference-Aware Resource Manager for Deep Learning Systems., , , , , and . ICA3PP (2), volume 12453 of Lecture Notes in Computer Science, page 492-508. Springer, (2020)Towards GPU Utilization Prediction for Cloud Deep Learning., , , , and . HotCloud, USENIX Association, (2020)PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models., , , , and . CoRR, (2022)Resource boxing: converting realistic cloud task utilization patterns for theoretical scheduling., , , and . UCC, page 138-147. ACM, (2016)Tails in the cloud: a survey and taxonomy of straggler management within large-scale cloud data centres., , and . J. Supercomput., 76 (12): 10050-10089 (2020)A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines., and . HotCloud, USENIX Association, (2020)A Cross-Virtual Machine Network Channel Attack via Mirroring and TAP Impersonation., , , , , and . IEEE CLOUD, page 606-613. IEEE Computer Society, (2018)