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.