Gaming has evolved as one of the most used and profitable online business worldwide. The players usually access their games through their PCs, laptops, phones or tablets; however, recently some companies like Google or NVIDIA have launched a new model called cloud or browser gaming. The idea is to run the game in the company servers and stream the content of the game to the user. Little to no information has been published about how they are implementing this new service, so this thesis is aimed at doing a traffic characterization of cloud gaming and with the help of machine learning algorithms, determine in which state was the game at any second so in the future some QoE mechanism can be applied to improve the performance.