In this work, we propose to predict the network throughput using its past measurements. As the analysis shows, the network throughput forms a long range-dependent process; thus, for the throughput prediction, we apply a fractional ARIMA process and artificial neural networks. Our approach does ...
[199] proposed an ML-based approach for forecasting the average downlink throughput per user for a specific LTE cell. The average throughput is predicted using a variant of Autoregressive Integrated Moving Average (ARIMA) and supervised naive persistence model. A QoS forecast based on signal ...
Maryam Amiri, Leyli Mohammad-Khanli, in Journal of Network and Computer Applications, 2017 4 Overview of prediction methods As it has been mentioned in the previous section, the application prediction methods are classified into four main groups. In a more detailed investigation, the role of metho...
we proposed a wavelet transforms-based ARIMA-XGBoost hybrid method, which improves the accuracy of layer actions response time in one-step and multi-step. The model uses wavelet transform to decompose the time series so that the features of the layer action...
This paper comes up with a method to improve the Grey Prediction Model based on the structure method of background value in Grey System GM(1,1) Model, figu... 罗迪,马新 - 《Coal Engineering》 被引量: 1发表: 2014年 The study of coal port throughput forecasting based on improved grey ...
Due to the challenge of implicit interaction mechanism among traffic flow, airspace capacity and weather impact, the Weather-aware ATFP (Wa-ATFP) is still a nontrivial issue. In this paper, a novel Multi-faceted Spatio-Temporal Graph Convolutional Network (MSTGCN) is proposed to address the...
Using a bandwidth checker module, SDNManager merges these proposed states (PS, the expected bandwidth utilization) into a target state (TS) that is guaranteed to maintain the safety and performance of the system. Updater module then updates the network to the target state. What is more, ...
Diabetes as a metabolic illness can be characterized by increased amounts of blood glucose. This abnormal increase can lead to critical detriment to the other organs such as the kidneys, eyes, heart, nerves, and blood vessels. Therefore, its prediction, prognosis, and management are essential to...
The results were encouraging in favor of Proliot, presenting significant performance gains in terms of response time and request throughput. In addition, we highlight the benefits on request timeout management when using an elastic-assisted IoT execution. All these results are delivered in an ...
artificial Neural Network ARIMA AutoRegressive Integrated Moving Average Conspeed contrast of speed GLCM gray level co-occurrence matrix HMM Hidden Markov model HMM-C Hidden Markov model with contrast ITS Intelligent Transportation System KF Kalman Filter PCA Principal Component Analysis 1. Introduction In...