Adaptive Microservice Architecture and Service Orchestration Considering Resource Balance to Support Multi-User Cloud VR

Recently, in the field of Virtual Reality (VR), cloud VR has been proposed as a method to address issues related to the performance and portability of Head-Mounted Displays (HMD). Cloud VR offers advantages such as lightweight HMD, telepresence, and mobility. However, issues such as Motion-To-Photon (MTP) latency and the handling of large-scale traffic due to continuous video streaming persist. Utilizing edge computing is considered a potential solution for some of these issues. Nevertheless, providing this in a cloud–edge continuum environment for simultaneous users presents additional issues, such as server rendering load and multi-user MTP latency threshold. This study proposes an adaptive MicroServices Architecture (MSA) and a service orchestration based on it to effectively provide multi-user cloud VR in a cloud–edge continuum environment. The proposed method aims to ensure the MTP latency threshold for each user while addressing network congestion, even when the application is provided to multiple users simultaneously in a resource-constrained edge network environment. Furthermore, it aims to maintain high edge applicability for microservices through efficient edge resource management. Simulation results confirm that the proposed method demonstrates better performance in terms of networking and MTP latency compared to other edge resource-management methods.