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SEED: A Scalable Approach for Cyber-Physical System Simulation.

, , , , and . IEEE Trans. Serv. Comput., 9 (2): 199-212 (2016)

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PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models., , , , and . CoRR, (2022)Towards GPU Utilization Prediction for Cloud Deep Learning., , , , and . HotCloud, USENIX Association, (2020)Resource boxing: converting realistic cloud task utilization patterns for theoretical scheduling., , , and . UCC, page 138-147. ACM, (2016)Integrating clustering and regression for workload estimation in the cloud., , , , , and . Concurr. Comput. Pract. Exp., (2020)Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge., , , , , , , and . J. Syst. Softw., (2019)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)START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks., , , , , and . IEEE Trans. Serv. Comput., 16 (1): 615-627 (January 2023)DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs., , , , and . IEEE Trans. Parallel Distributed Syst., 34 (7): 2208-2220 (July 2023)Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems., , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (1): 88-100 (2022)