It is worth noting that deep learning technologies can be utilized in improving the cloud streaming thereby developing the optimum quality of the excellent experience that an online gamer would wish to have. For instance, the AI-powered Deep Neural Network, denoted as DNN, can be utilized in enhancing the data analysis of the prior game instances. On the other hand, the use of Artificial Intelligence in cloud gaming would essentially enhance the online gaming security, which is something that would end up making the entire cloud environment safer for the storage of the most sensitive data. The notable example that would be supplied to this case is Microsoft Azure Gaming, which is known for protecting the online games from a possible host of the DDoS attacks or security risks. On the other, Ewelle et al. (2013) focused on the inter-link between video games and cloud-computing practices. The authors focused on the growth of cloud gaming, which encompasses the client-server set-up, the cloud gaming paradigms, the game state synchronization and video streaming. Under video streaming, the cloud gaming systems take note of the configurations and a server but ends up maintaining the representations of the entire game model.