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Multi-objective Analysis of Power Consumption and Quality of Service in Datacenters for Effective Demand Response.

, and . CARLA, volume 1887 of Communications in Computer and Information Science, page 50-65. Springer, (2023)

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Empirical power consumption characterization and energy aware scheduling in data centers.. CLEI Electron. J., (2021)Exact and Metaheuristic Approach for Bus Timetable Synchronization to Maximize Transfers., , and . ICSC-Cities, volume 1359 of Communications in Computer and Information Science, page 183-198. Springer, (2020)Power Consumption Characterization of Synthetic Benchmarks in Multicores., , , and . CARLA, volume 796 of Communications in Computer and Information Science, page 21-37. Springer, (2017)Simulation and evaluation of multicriteria planning heuristics for demand response in datacenters., and . Simul., 99 (3): 291-310 (March 2023)A multiobjective evolutionary algorithm for QoS-aware planning in heterogeneous computing systems., , and . CLEI, page 1-12. IEEE, (2014)Machine Learning for Generic Energy Models of High Performance Computing Resources., , and . ISC Workshops, volume 12761 of Lecture Notes in Computer Science, page 314-330. Springer, (2021)Learning tenant behavior and evolutionary approach for demand response in colocation datacenters., , and . CLUSTER, page 523-527. IEEE, (2022)Characterization, modeling and scheduling of power consumption of scientific computing applications in multicores., , , and . Clust. Comput., 22 (3): 839-859 (2019)Learning to optimize timetables for efficient transfers in public transportation systems., , , and . Appl. Soft Comput., (2022)Negotiation Approach for the Participation of Datacenters and Supercomputing Facilities in Smart Electricity Markets., , , , , , , and . Program. Comput. Softw., 46 (8): 636-651 (2020)