QoS Prediction Model of Cloud Services Based on Deep Learning

This letter presents a deep learning-based prediction model for the quality-of-service (QoS) of cloud services. Specifically, to improve the QoS prediction accuracy of cloud services, a new QoS prediction model is proposed, which is based on multi-staged multi-metric feature fusion with individual evaluations. The multi-metric features include global, local, and individual ones. Experimental results show that the proposed model can provide more accurate QoS prediction results of cloud services than several state-of-the-art methods.