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Energy Efficient Scheduling of Cloud Application Components with Brownout.

, , and . IEEE Trans. Sustain. Comput., 1 (2): 40-53 (2016)

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iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-based Clouds., , and . CoRR, (2018)AI-based fog and edge computing: A systematic review, taxonomy and future directions., , , , , , , , , and 8 other author(s). Internet Things, (April 2023)Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks., , , , , and . IEEE Trans. Cloud Comput., 11 (1): 1038-1049 (January 2023)Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions., , , , and . CoRR, (2021)Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster., , , , , , , , and . CoRR, (2023)Managing renewable energy and carbon footprint in multi-cloud computing environments., and . J. Parallel Distributed Comput., (2020)CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning., , , , , , and . IEEE Trans. Netw. Serv. Manag., 19 (4): 3995-4009 (December 2022)A Toolkit for Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center., , , , and . IEEE Trans Autom. Sci. Eng., 12 (1): 153-161 (2015)Performance Interference of Virtual Machines: A Survey., , , , , and . ACM Comput. Surv., 55 (12): 254:1-254:37 (December 2023)A multi-output prediction model for physical machine resource usage in cloud data centers., , , , , , and . Future Gener. Comput. Syst., (2022)