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Artículo
Bullfighting extreme scenarios in efficient hyper-scale cluster computing
(Springer, 2020)
Data centres are quickly evolving to support new demands for Cloud-Computing services. Extreme workload peaks represent a challenge for the maintenance of the performance and service level agreements, even more when ...
Artículo
Smart scheduling for saving energy in grid computing
(Elsevier, 2012)
Energy saving involves two direct benefits: sustainability and cost reduction. Within the field of Informa tion Technology, clusters, grids and data centres represent the hungriest consumers of energy and there fore energy ...
Artículo
PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)
Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. ...