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Leveraging Heterogeneity for Energy Minimization in Data Centers.

, , and . CCGRID, page 752-757. IEEE Computer Society, (2012)

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Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres., , , , and . Logic Journal of the IGPL, 23 (3): 495-505 (2015)Comparative study of meta-heuristic 3D floorplanning algorithms., , , , , , , and . Neurocomputing, (2015)Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering., , , , and . J. Grid Comput., 13 (3): 409-423 (2015)Runtime data center temperature prediction using Grammatical Evolution techniques., , , , , and . Appl. Soft Comput., (2016)Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems., , , , , , , , , and 11 other author(s). SAMOS, page 187-194. ACM, (2018)RFID Performance in Localization Systems., , , , and . IWAAL, volume 6693 of Lecture Notes in Computer Science, page 73-78. Springer, (2011)Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays., , , , and . ISLPED, page 42:1-42:6. ACM, (2018)Dynamic workload and cooling management in high-efficiency data centers., , , , and . IGSC, page 1-8. IEEE Computer Society, (2015)MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding., , , , , and . DATE, page 558-563. IEEE, (2019)Power-awareness and smart-resource management in embedded computing systems., , , , , , , , , and . CODES+ISSS, page 94-103. IEEE, (2015)