Simulating a distributed cloud gaming engine

This thesis designs resource allocation algorithms for distributed cloud gaming engines with the aim of improving QoS (Quality of Service) and QoE (Quality of Experience) for cloud gaming. Cloud gaming is an emerging technology that allows players to play games without high-end hardware. Games are run on cloud servers via containers and rendered images are pushed to the user. Cloud gaming technology has many advantages over traditional gaming technologies, but factors still affect the player experience. In the face of such challenges, resources must be dynamically aggregated in an on-demand manner in a cloud architecture. The first step is to analyse the design goals for a new generation of distributed cloud gaming engines and then to design offline algorithms. In the simulation of the algorithms, two different models, namely "bottom-up" and "top-down", are to be built, corresponding to various allocation schemes of the cloud gaming engine to users, and using multiple sets of different user combination data, to have experimented, compared and analysed with the project partners, and to be compared with the traditional cloud gaming engine. Based on the QoE and cost analysis, the best approach is selected.