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Simulators Usage Analysis to Estimate Power Consumption in Cloud Computing Environments.

, , , , and . WSCAD, page 70-76. IEEE, (2018)

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Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers., , , , , , and . PDP, page 88-93. IEEE, (2020)IADA: A dynamic interference-aware cloud scheduling architecture for latency-sensitive workloads., , , and . J. Syst. Softw., (2022)An Interference-Aware Application Classifier Based on Machine Learning to Improve Scheduling in Clouds., , , and . PDP, page 80-87. IEEE, (2020)Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications., , , , and . CLOSER, page 404-411. SciTePress, (2019)Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs., , , , , , , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 519-530. Springer, (2019)Evaluating the performance and improving the usability of parallel and distributed Word Embeddings tools., , , , , and . PDP, page 201-206. IEEE, (2020)Simulators Usage Analysis to Estimate Power Consumption in Cloud Computing Environments., , , , and . WSCAD, page 70-76. IEEE, (2018)Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs., , , , , , , and . CoRR, (2021)ML-driven classification scheme for dynamic interference-aware resource scheduling in cloud infrastructures., , , and . J. Syst. Archit., (2021)Towards Interference-Aware Dynamic Scheduling in Virtualized Environments., , , , and . JSSPP, volume 12326 of Lecture Notes in Computer Science, page 1-24. Springer, (2020)