Delay-Aware Resource Provisioning for Cost-Efficient Cloud Gaming

Real-time online gaming via thin clients, which is known as cloud gaming, connects players around the world and allows them to play high-quality games without much processing capacity. Successful deployment of any cloud-gaming solution requires an ultralow-delay cost-efficient design. To this end, it is required to investigate how one can minimize the cloud costs while satisfying the quality of experience (QoE) requirement of users. Here, we aim to present a resource allocation (RA) framework for cloud centers, which benefits from highly virtualized CPU/GPU resources for cost efficiency. Toward this end, we first present an accurate delay model, as the main control parameter for QoE by considering all sources of delay into account. Then, we present a delay-aware cost-minimizing RA scheme and follow a tractable approach to derive the performance bounds on the blocking probability of the system. The simulation results show that the performance of the proposed schemes outperforms the others in cost efficiency while satisfying the delay requirement of the connected users.