Computer Science
5 years ago

Revolutionize Cloud Efficiency: Predicting Workloads Saves Costs and Boosts Performance

Procedia Computer Science
EWPTNN: An Efficient Workload Prediction Model in Cloud Computing Using Two-Stage Neural Networks
K Dinesh Kumar, E. Umamaheswari

Paper Summary

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The article presents a new model that uses neural networks to predict how much resources cloud applications will need in the future. By categorizing resources into different classes and then predicting their future usage, the model helps prevent both under and over allocation of resources, saving money and improving service quality. Experimental results show that the model is accurate in predicting resource needs.