Packet Loss Prediction Using Artificial Intelligence Unified with Big Data Analytics, Internet of Things and Cloud Computing Technologies

Big Data Analytics, Artificial Intelligence and cloud computing all together has emerged with an ultimate goal of automating and changing human life by providing their services. These incredibly strong technologies have huge potential by working together, making human life simpler and advanced. To increase the popularity of any of these services, Quality of Service metrics are needed to be defined clear. One of those quality metrics is packet loss or packet delivery, which is the main research idea of this paper. With advancement in Intelligent Network there exists a scope to predict packet loss, by analyzing the recorded network traffic and processing said data under certain machine learning algorithms to create a model to either predict packet loss or tell which variable is responsible for packet loss. This paper includes the study of packet loss behavior of networks. The Analytics techniques applied successfully by analyzing big network traffic data, processing of data, using AI and Machine Learning classifier “XGBoost” and hence designed a model to predict Packet loss which is a QoS metric with an accuracy of 90 percent. The model is personalized to work on WireShark data.